Publications

Journals | Books and Patents | 2010-Current (Conference) | Before 2010

Google Scholar: Anup Basu, Irene Cheng

  • “Dual-Graph Global and Local Concept Factorization for Data Clustering” Li, Ning; Leng, Chengcai; Cheng, Irene; Basu, Anup ; Jiao, Licheng, IEEE Transactions on Neural Networks and Learning Systems, May 2022, in press.
  • “Universal Background Subtraction Based on Arithmetic Distribution Neural Network,” (C. Zhao, K. Hu and A. Basu), IEEE Transactions on Image Processing, 1-14, in press, March 2022.
  • “Multi-step Implicit Adams Predictor-Corrector Network for Fire Detection,” (Z. Deng, S. Hu, S. Yin, Y. Wang, A. Basu, I. Cheng), IET Image Processing, 1-9, in press, March 2022.
  • “Max-Index Based Local Self-Similarity Descriptor for Fast and Robust Multi-Modal Image Registration,” (Y. Hong et al. and A. Basu), IEEE Geoscience and Remote Sensing Letters, 1-5, March 2022.
  • “Semantic Segmentation Based on Depth Background Blur,” (H. Li, C. Liu and A. Basu), Applied Sciences, 1-15, Jan 2022.
  • Tahjid Ashfaque Mostafa, Sara Soltaninejad, Tara McIsaac, Irene Cheng, “A Comparative Study of Time Frequency Representation Techniques for Freeze of Gait Detection and Prediction,” MDPI Sensors: Sensing and Imaging Special Issue, Perception and Intelligence Driven Sensing to Monitor Personal Health, Sep 2021.
  • “Multimodal remote sensing image registration methods and 2 advancements: A survey,” (X. Zhang et al. and A. Basu), Remote Sensing, 1-32, Dec. 2021.
  • Xinyao Sun, Aaron Zimmer, Subhayan Mukherjee, Parwant Ghuman and Irene Cheng, “IGS-CMAES: A Two-Stage Optimization for Ground Deformation and DEM Error Estimation in Time Series InSAR Data,” MDPI Remote Sensing SI: Earth Environment Monitoring with Advanced Space-borne Synthetic Aperture Radar: New Architectures, Operational Modes, and Processing Techniques, 2021 Jun.
  • N. Hajari, C.M. Lastre Dominguez, C. Ho, O. Ibarra-Manzano, I. Cheng, “Longitudinal in-bed pressure signals decomposition and gradients analysis for pressure injury monitoring,” MDPI Sensors: Sensing and Imaging Special Issue, Perception and Intelligence Driven Sensing to Monitor Personal Health, June 2021.
  • “SAR Image Registration Based on ROEWA-Blocks and Multiscale Circle Descriptor,” (Y. Hong et al. and A. Basu), IEEE Journal on Selected Topics in Applied Earth Observations and Remote Sensing, 1-14, Nov. 2021.
  • “RAVA: Region-Based Average Video Quality Assessment,” (X. Wu, I. Cheng, Z. Zhou and A. Basu), Sensors, 1-21, August 2021.
  • “DRVI: Dual Refinement for Video Interpolation,” (X. Wu, Z. Zhou and A. Basu), IEEE Access, 1-11, August 2021.
  • “A multi-scale attentive recurrent network for image dehazing,” (Y.Wang, S. Yin and A. Basu), Multimedia Tools and Applications, 32539–32565, July 2021.
  • “A hybrid level set model for image segmentation,” (W. Chen, C. Liu, A. Basu, B. Pan), PLOS One, 1-19, June 2021.
  • “HOLBP: Remote Sensing Image Registration Based on Histo-2 gram of Oriented Local Binary Pattern Descriptor,” (Y. Hong et al. and A. Basu), Remote Sensing, 1-21, 2021.
  • “Feature-guided CNN for Denoising Images from Portable Ultrasound Devices,” (G. Dong, Y. Ma and A. Basu), IEEE Access, 1-10, in press, Feb. 2021.
  • “Total Variation Constrained Non-Negative Matrix Factorization for Medical Image Registration,” (C. Leng et al. and A. Basu), IEEE/CAA Journal of Automatica Sinica, 13 pages, May 2021.
  • “Deep Variation Transformation Network for Foreground Detection,” (Y. Ge, C. Zhao et al. and A. Basu), IEEE Transactions on Circuits and Systems for Video Technology, 1-14, in press, Nov. 2020.
  • N. Hajari, Gabriel Lugo Bustillo, Harsh Sharma, Irene Cheng, “Marker-less 3d Object Recognition and 6d Pose Estimation for Homogeneous Textureless Objects: an RGB-D Approach,” MDPI Sensor, 2020 Sep. 20(18), 5098; https://doi.org/10.3390/s20185098
  • Jinfeng Wang and Irene Cheng, “RSF Model with SCE-based Global Constraint for Image Segmentation,” Electronics Letters, Vol.56, No.1, pp.23-25, Jan 2020. doi: 10.1049/el.2019.2123
  • “Total Variation Constrained Graph-Regularized Convex Non-negative Matrix Factorization for Data Representation,” (M. Tian, C. Leng et al. and A. Basu), IEEE Signal Processing Letters, 5 pages, accepted subject to minor revisions, Nov. 2020.
  • Mukherjee, S., Zimmer, A., Sun, X., Ghuman, P., & Cheng, I. (2020). An unsupervised generative neural approach for InSAR phase filtering and coherence estimation. IEEE Geoscience and Remote Sensing Letters.
  • Sun, X., Zimmer, A., Mukherjee, S., Kottayil, N. K., Ghuman, P., & Cheng, I. (2020). DeepInSAR—A deep learning framework for SAR interferometric phase restoration and coherence estimation. Remote Sensing, 12(14), 2340.
  • “Total Variation Constrained Non-Negative Matrix Factorization for Medical Image Registration,” (C. Leng et al. and A. Basu), IEEE/CAA Journal of Automatica Sinica, 13 pages, accepted July 2020.
  • “Remote Sensing Image Registration Based on Local Affine Constraint with Circle Descriptor,” (C. Leng et al. and A. Basu), IEEE Geoscience and Remote Sensing Letters, 5 pages, October 2020.
  • “Image Dehazing with Uneven Illumination Prior by Dense Residual Channel Attention Network,” (S. Yin, Y. Wang and A. Basu), IET Image Processing, in press. 2020
  • “Simplified Active Calibration,” (M. Faraji and A. Basu), Image and Vision Computing, Elsevier, 1-14, Nov. 2019.
  • “Dynamic Deep Pixel Distribution Learning for Background Subtraction,” (C. Zhao and A. Basu), IEEE Transactions on Circuits and Systems for Video Technology, 1-14, Nov. 2019.
  • B. Han, Y. Wu and A. Basu, “Adaptive Active Contour Model Based on Weighted RBPF for SAR Image Segmentation,” , IEEE Access, 54522-54532, May 2019.
  • S. Soltaninejad, I. Cheng and A. Basu, “Kin-FOG: Automatic Simulated Freezing of Gait (FOG) Assessment System for Parkinson’s Disease,” , 1-22, Sensors, May 2019.
  • W. He, S. Bryns, K. Kroeker, A. Basu, D. Birch and B. Zheng, “Eye Gaze of Endoscopists during Simulated Colonoscopy,” , Journal of Robotic Surgery, In Press, 2019.
  • B. Han, Y. Wu and A. Basu, “An adaptive active contour model driven by weighted local and global image fitting constraints for image segmentation,” , Springer Signal Image and Video Processing (SIVP), In Press, May 2019.
  • J. Yang, M. Faraji and A. Basu, “Robust segmentation of arterial walls in intravascular ultrasound images using Dual Path U-Net,” , Ultrasonics, 24-33, March 2019
  • S. Soltaninejad, Irene Cheng, Anup Basu, “Kin-FOG: Automatic simulated freezing of gait (FOG) assessment system for Parkinson’s Disease,” Sensors: Special Issue State-of-the-Art Sensors Technology, May 2019.
  • Guillermina Vivar, Dora-Luz Almanza-Ojeda, Irene Cheng, Juan Carlos Gomez, J.A. Andrade-Lucio and Mario-Alberto Ibarra-Manzano, “Contrast and Homogeneity Feature Analysis for Classifying Tremor Levels in Parkinson’s Disease Patients,” MDPI Sensors Journal 2019, 19, 2071 (2017 IP 2.475).
  • Chengcai Leng, Hai Zhang, Guorong Cai, Irene Cheng, Anup Basu, “Graph regularized Lp smooth non-negative matrix factorization for data representation,” IEEE/CAA Journal of Automatica Sinica (Accepted ESCI/EI 2019)
  • Changjiang Liu, I. Cheng and Anup Basu, “Real-time Runway Detection for Infrared Aerial Image Using Synthetic Vision and ROI Based Level Set Method,” MDPI Remote Sensing Journal 2018 Sep (2017 IP 3.4).
  • S. Mukherjee, I. Cheng, S. Miller, T. Guo, V. Chau and A. Basu, “A Fast Segmentation-free Fully Automated Approach to White Matter Injury Detection in Preterm Infants,” Springer Medical and Biological Engineering and Computing, Jul 2018.
  • Navaneeth Kamballur Kottayil, Giuseppe Valenzise, Frederic Dufaux and Irene Cheng, “Blind Quality Estimation by Disentangling Perceptual and Noisy Features in High Dynamic Range Images,” IEEE Transactions on Image Processing, Vol. 27, Issue 3, pp. 1512-1525, 2018 Mar.
  • M. Faraji, I. Cheng, I. Naudin and A. Basu, “Segmentation of arterial walls in intravascular ultrasound cross-sectional images using extremal region selection,” Ultrasonics, Vol 84, pp. 356-365, 2018 Mar.
  • “Using Cone beam CT to assess the upper airway after surgery in children with sleep disordered breathing symptoms and maxillary-mandibular disproportions: A clinical pilot”, Noura Alsufyani; Michelle Noga; Manisha Witmans; Irene Cheng; Hamdy El-Hakim; Paul Major Journal of Otolaryngology (JOTO) – Head & Neck Surgery, 2017
  • “Representation, Analysis and Recognition of 3D Humans,” (S. Beretti, M. Daoudi, P. Turaga, and A.Basu), ACM Transactions on Multimedia, accepted, Jan 2017.
  • “Enhancement of Low Visibility Aerial Images Using Histogram Truncation and an Explicit Retine Representation for Balancing Contrast and Color Consistency,” (C. Liu, I. Cheng, Y. Zhang and A.Basu), Elsevier ISPRS Journal of Photogrammetry and Remote Sensing, 16-26, accepted, June 2017 (IF:4.18).
  • “Smart Sensor-Based Motion Detection System for Hand Movement Training in Open Surgery,” (X. Sun, I. Cheng, S. Bryns, B. Zheng and A. Basu), Journal of Medical Systems, pages 1-20, In press, Dec 2016.
  • “Subjective and objective visual quality assessment of textured 3D meshes,” (J. Guo, V. Vidal, I.Cheng, A. Basu, A. Baskurt and G. Lavoue), ACM Transactions on Applied Perception, pages 1-19, In press, September 2016.
  • “A color intensity invariant low-level feature optimization framework for image quality assessment,” (N. Kottayil, I. Cheng, F. Dufaux and A. Basu), Signal, Image and Video Processing, Publisher Springer, pages 1-8, published online Mar 2016. PDF
  • “Adaptive Resolution Optimization and Tracklet Reliability Assessment for Efficient Multi-ObjectTracking,” (R. Yu, I. Cheng, B. Zhu, S. Bedmutha, and A. Basu), IEEE Transactions on Circuits and Systems for Video Technology, pages 1-12, In press, Aug. 2016.
  • “A Multi-Sensor Technique for Gesture Recognition through Intelligent Skeletal Pose Analysis,” (N.Rossol, I. Cheng and A. Basu), IEEE Transactions on Human Machine Systems, pages 350-359, Vol. 43, Issue 3, June 2016. PDF
  • “Graph Matching Based on Stochastic Perturbation,” (C. Leng, W. Xu, I. Cheng and A. Basu), IEEE Transactions on Image Processing, Vol 24, Issue 12, 4862 – 4875, Dec 2015. PDF
  • C. Leng, W. Xu, I. Cheng and A. Basu, “Image Registration based on Stochastic Graph Perturbation,” IEEE Transactions on Image Processing 2015, Vol.24, No.12, 4862-4875.
  • I. Cheng, A. Firouzmanesh and A. Basu, “Perceptually Motivated LSPIHT for Motion Capture Data Compression,” Computers Graphics, Elsevier 2015 (In proc. Shape Modelling International (SMI) 2015). Link (until August 3, 2015)
  • I. Cheng, Steven P. Miller, Emma G. Duerden, Kaiyu Sun, Vann Chau, Elysia Adams, Kenneth J. Poskitt, Helen M. Branson, Anup Basu, “Stochastic process for white matter injury detection in pretermeonates,” Elsevier J. NeuroImage: Clinical 7 (2015) 622-630. PubMed Central. Link
  • “A fully Lagrangian Advection Scheme,” J. Bowman, M. Ali Yasseai, A. Basu, Journal of Scientific Computing, 31 pages, in press, 2014.
  • “Super-resolution fusion of complementary panoramic images based on cross selection kernel regression interpolation,” (L. Chen , A. Basu, M. Zhang, W. Wang and Y. Liu), Applied Optics, vol.53, issue 9, 1918-1928, 2014. (Also in Virtual Journal for Biomedical Optics (VJBO), 2014, IF =3.16.)
  • T. Xu, I. Cheng, R. Long and M. Mandal, “Computer-Aided Detection of Acinar Shadows in Chest Radiographs,” ICTACT Journal on Image and Video Processing, May 2013, Volume 3, Issue 4. PDF
  • T. Xu, I. Cheng, R. Long and M. Mandal, “Novel Coarse-to-fine Dual Scale Technique for TuberculosisCavity Detection in Chest Radiographs,” EURASIP Journal on Image and Video Processing 2013, 2013:3 Springer (17 pages in print). PDF
  • “QoE based Multi-exposure fusion in Hierarchical Multivariate Gaussian CRF,” (R. Shen, I. Cheng and A. Basu), IEEE Trans. on Image Processing, 9 pages, in press, 2013. PDF
  • “Defocus deblurring for catadioptric omnidirectional imaging based on spatially invariant point spread function,” (Y. Li , Y. Liu , W. Wang , J. Lou , A. Basu and M. Zhang), Journal of Modern Optics, 9 pages, appeared online April 17, 2013.
  • “Cross-Scale Coefficient Selection for Volumetric Medical Image Fusion, ” (R. Shen, I. Cheng and A. Basu), IEEE Trans. on Biomedical Engineering, 1069-79, vol. 60, no. 4, April 2013. PDF
  • “Improved Robust Kernel Subspace for Object-Based Registration and Change Detection, ” (Z. Zhang, Z. Tian, M. Ding, and A. Basu), IEEE Geoscience and Remote Sensing Letters, 791-795, vol. 10, issue 4, July 2013.
  • I. Cheng, A. Sen, A. Basu, W.F. Bischof and O. Bilash, “An Integrated Edu-Media Framework for Collaborative Learning on Handhelds,” Advances in Education research Journal ISSN: 2160-1070 (In.
    Proc. Int. Conf. on Education and Education Management, 2012). PDF
  • O. Bilash, Irene Cheng, V. Wong, A. Basu and W. Bischof, “Foreign Language Learning on Mobile Devices: Implications for Alberta’s Teachers,” Notos, SLIC Journal, Second Languages and Intercultural Council of The Alberta Teachers’ Association, pp. 25-40, Vol. 12, No. 2, Winter 2012.
  • “Perceptually Coded Transmission for Arbitrary 3D Objects over Burst Packet Loss Channels and a Generic JND Formulation,” (I. Cheng, L. Ying and A. Basu), IEEE Journal on Selected Areas of Communication (JSAC), 10 pages, accepted March 2012. PDF
  •  “An Edge-Region Force Guided Active Shape Approach for Automatic Lung Field Detection in Chest Radiographs,” (T. Xu, R. Long, I. Cheng, M. Mandal and A. Basu), Computerized Medical Imaging and Graphics, 10 pages, in press. PDF
  • “Optimal Pixel Aspect Ratio for Enhanced 3D TV Visualization,” (H. Azari, I. Cheng and A. Basu), Computer Vision, Graphics and Image Processing, 38-53, Jan 2012.PDF
  • Z.Xiong, I.Cheng, W.Wang, A.Basu and M.Zhang, “Depth Space Partitioning for Omni-Stereo Object Tracking,”IET Computer Vision, Vol.6, No.2, pp.153-163,Mar 2012.PDF
  • Z.Xiong, I.Cheng, A.Basu, W.Wang, W.Xu and M.Zhang, “Efficient Omni-image Unwarping using Geometric Symmetry,”Machine Vision and Applications(MVA)Journal, Vol.23, No.4(2012), 725-737. PDF
  • R. Shen, I. Cheng, J. Shi and A. Basu, “Generalized Random Walks for Fusion of Multi-Exposure Images,” IEEE Trans. on Image Processing, in press, 10 pages, 2011. PDF
  • A. Firouzmanesh, I. Cheng and A. Basu, “Perceptually Guided Fast Compression of 3D Motion Capture Data,” IEEE Transactions on Multimedia, 829-834, Aug. 2011. PDF
  • N. Rossol, I. Cheng, I. Jamal, J. Berezowski and A. Basu, “A Real-time 3D Visualization Framework for Multimedia Data Management, Simulation, and Prediction in Geospatial-temporal Biomedical Disease Surveillance Networks,” Internation Journal of Multimedia Data Engineering and Management, Accepted, Feb 2011, 18 pages. PDF
  • W.Chen, I. Cheng, Z. Xiong, A. Basu and M. Zhang, “A 2-point Algorithm for 3D Reconsturction of Horizontal Lines from a Single Omni-directional Image,” Pattern Recognition Letters Journal, Vol.32, No.3, pp 524-531, Feb 2011. PDF
  • Z. Xiong, I. Cheng, A. Basu, W. Wang, W. Xu and M. Zhang, “Omni-image Unwarping using Geometric Symmetry,” Machine Vision and Applications (MVA) Journal, Accepted, Dec. 2010, 20 pages.
  • W. Chen, I. Cheng, Z. Xiong, A. Basu and M. Zhang, “A 2-point Algorithm for 3D Reconstruction of Horizontal Lines from a Single Omni-directional Image,” Pattern Recognition Letters Journal, Accepted, Nov. 2010, 19 pages.
  • R. Shen, I. Cheng and A. Basu, “A Hybrid Knowledge-Guided Detection Technique for Screening of Infectious Pulmonary Tuberculosis from Chest Radiographs,” IEEE Trans. on Biomedical Engineering, Nov. 2010, 57(11): 2646-2656. PDF
  • D.P. Mukherjee, I. Cheng, N. Ray, V. Mushahwar, M. Lebel and A. Basu, “Automatic Segmentation of Spinal Cord MRI using Symmetric Boundary Tracing,” IEEE Trans. on Information Technology in BioMedicine, Sep 2010, 14(5): 1275-1278. PDF
  • C. Yuan, I. Cheng, A. Basu and H.A. Mallot, “Optic-Flow Based Motion Analysis for Animation,” Int. J. of Virtual Reality Issue 4, 2010, 9(3): 1-5.
  • H. Azari, I. Cheng and A. Basu, “Stereo 3D Mouse (S3D-Mouse): A Method for Interaction with 3D Objects in Virtual 3D Space.” Int. J. of Digital Multimedia Broadcasting Special Issue: Advances in 3DTV: Theory and Practice 2010, Article ID 419493, 11 pages. PDF
  • I. Cheng and A. Basu, “Interactive Graphics for Computer Adaptive Testing,”Computer Graphics Forum 2009 Eurographics Education’08, 12 pages, to appear. PDF
  • T. Wang, I. Cheng and A. Basu, “Fluid Vector Flow and Applications in Brain Tumor Segmentation”, IEEE Trans. on BioMedical Engineering, January 2009. PDF
  • I. Cheng, A. Basu and R. Goebel, “Interactive Multimedia for Adaptive Online Education”, IEEE Multimedia Magazine 2009 (in press). PDF
  • I. Cheng, “Interactive 3D Online Applications,” IEEE Communications Society, Multimedia Communications Technical Committee (MMTC) E-Letter, Vol.4, No.7, Aug 2009.
  • I. Cheng, A. Basu and R.G. Goebel, “Interactive Multimedia for Adaptive Online Education,” IEEE Multimedia, in press, 2008
  • I. Cheng, L. Ying, K. Daniilidis and A. Basu, “Robust and Scalable Transmission of Arbitrary 3D Models over Wireless Networks,” EURASIP Journal on Image and Video Processing, Special Issue, 12 pages, in press, 2008 PDF
  • M. Singh, A. Basu and M.K. Mandal, “Human activity recognition based on silhoutte directionality,” IEEE Transactions on Circuits and Systems for Video Technology, 14 pages, 2008
  • I. Cheng and A. Basu, “An Effective Multimedia Item Shell Design for Individualized Education: The CROME Project”, Advances in Multimedia, Vol. 2008 Article ID 825671, 10 pagesfull text PDF
  • I. Cheng, L. Ying and A. Basu, “Packet Loss Modeling for Perceptually Optimized 3D Transmission’, Advances in Multimedia, Special Issue Vol. 2007 (2007) Article ID 95218, 10 pages. full text PDF
  • D. Wang, L. Zhang, N. Ma and X. Li, “Two secret sharing schemes based on Boolean operations”, Pattern Recognition, Vol.40, No.10, pp.2776-2785, 2007.
  • I. Cheng and A. basu, “Perceptually Optimized 3D Transmission over Wireless Network”, IEEE Transaction on Multimedia, vol. 9, No. 2, 386-396, February 2007. PDF
  • I. Cheng and A. Basu, “Perceptually optimized 3D transmission over wireless networks,”, IEEE Trans. on Multimedia, 11 transactions pages, in press, 2006.
  • M. Singh, A. Basu and M.K. Mandal, “Event dynamics based temporal image registration,”, IEEE Transactions on Multimedia, 30 ms pages, in press, 2006.
  • I. Cheng and P. Boulanger, “Adaptive Online Transmission of 3D TexMesh Using Scale-space and Visual Perception Analysis”, IEEE Transaction on Multimedia, vol. 8, no. 3, 550-563, June 2006. PDF
  • T. Wang and A. Basu, “An improved fully parallel 3D thinning algorithm,”), Pattern Recognition Letters, 10 manuscript pages, in press, 2006.
  • M Pi, CS Tong and A. Basu, “Fractal-based edge extraction and its application to textured image retrieval,”,  Journal of Electronic Imaging, 013012-1 to 013012-9, Jan-Mar 2006.
  • M Singh, A. Basu and MK Mandal, “Human activity recognition based on silhoutte directionality,”, IEEE Transactions on Circuits and Systems for Video Technology, 25 ms pages, in press, 2006.
  • V. Sanchez, MK Mandal and A. Basu, “Robust transmission of regions of interest in JPEG2000,”, Journal of Electronic Imaging, 013008-1 to 013008-6, Jan-Mar 2006.
  • I. Cheng and P. Boulanger, “Feature Extraction on 3D TexMesh Using Scale-space Analysis and Perceptual Evaluation”IEEE Transaction on Circuits and Systems for Video Technology Special
    Issue vol. 15 no. 10
    , October 2005.PDF
  • Y. Pan, I. Cheng and A. Basu,  “Quality metric for approximating subjective evaluation of 3D objects,” IEEE Transactions on Multimedia, 269-279, April 2005 PDF
  • M. Pi, M. Mandal and A. Basu, “Image retrieval based on histogram of fractal parameters,” IEEE Transactions on Multimedia, 597-605, Aug. 2005
  • M. Singh, M.K. Mandal and A. Basu, “Gaussian and Laplacian of Gaussian weighting functions for robust feature based tracking,” Pattern Recognition Letters, 11 pages, 2005
  • M. Fiala and A. Basu, “Panoramic stereo imaging,” Computer Vision and Image Understanding, 363-397, Feb. 2005
  • V. Sanchez, A. Basu and M. Mandal, “Prioritized region of interest coding in JPEG2000,” IEEE Transactions on Circuits and Systems for Video Technology, 1149-1155, Sep. 2004
  • L. Yin, A. Basu and J.K. Chang, “Scalable edge enhancement for digital x-ray images with automatic optimization,” Pattern Recognition, 1407-1422, July 2004
  • M. Fiala and A. Basu, “Robot navigation using panoramic imaging,” Pattern Recognition, 2195-2215, Nov. 2004
  •  I. Cheng and A. Basu, “QoS based video delivery with foveation,” Pattern Recognition Letters, 2675-2686, vol. 24, 2003
  • Y. Yu, I. Cheng and A. Basu, “Optimal adaptive bandwidth monitoring for QoS based retrieval,” IEEE Transactions on Multimedia, 466-472, September 2003
  • L.Yin, A. Basu and M.Yourst, “Active tracking and cloning of facial expression,” Int. Journal of AI Tools, 279-295, vol. 12, #3, 2003
  • M. Fiala and A. Basu, “Hough transform for feature detection in panoramic images,” 12 printed pages, Pattern Recognition Letters, 2002
  • A. Basu and H. Sahabi, “Analysis of depth estimation error for cylindrical stereo imaging”, Pattern Recognition, 2549-2558, Nov. 2002
  • L. Yin and A. Basu, “Generating realistic facial expressions with wrinkles for model based coding,” Computer Vision and Image Understanding, vol.  84, pages 201-240, 2001
  • M. Fiala and A. Basu, “Line segment extraction in panoramic images,” Journal of WSCG, Vol. 10, Number 1, pages 179-186, 2002
  • “Improving image and video transmission quality over ATM with foveal prioritization and priority dithering”, (K. Wiebe and A. Basu), Pattern Recognition Letters, 905-915, 2001
  • L. Yin, A. Basu, S. Bernoegger and A. Pinz, “Synthesizing realistic facial animations using energy minimization for model based coding”, Pattern Recognition, 2000
  • L. Yin and A. Basu, “Active face tracking for model-based coding,” Pattern Recognition Letters, vol. 20, 1999, 651-657
  • A. Basu and K. Wiebe, “Videoconferencing using spatially varying sensing,” IEEE Transactions on Systems, Man, and Cybernetics, March 1998, 137-148
  • K. Wiebe and A. Basu, “Modeling ecologically specialized biological visual systems,” Pattern Recognition, 30 ms. pages, 1998
  • A. Basu and K. Ravi, “Active camera calibration using pan, tilt, and roll,” IEEE Transactions on SMC, 24 ms. pages, 1997
  • H. Sahabi and A. Basu, “Analysis of depth perception with vergence and spatially-varying sensing,”Computer Vision, Graphics and Image Processing, vol. 63, no. 3, May, pp. 447-461, 1996
  • A. Basu, M.K. Jain and X. Li, “Improving boundary detection using variable resolution masks,” Pattern Recognition Letters, 1207-1211, December, 1995
  • A. Elnagar and A. Basu, “Motion detection using background constraints,”Pattern Recognition, Vol. 28, No. 10, 1537-1554, 1995
  • A. Basu and S. Licardie, “Alternative models for fish-eye lenses,”Pattern Recognition Letters, 433-441, April 1995
  • A. Basu and A. Elnagar, “Safety optimizing strategies for local path planning in dynamic environments,” International Journal of Robotics and Automation, Vol. 10, No. 4, 130-142, 1995
  • A. Basu, “Active calibration: Theory and implementation,”IEEE Transactions on SMC, 256-265, February 1995. (Earlier version in IEEE CVPR proceedings, NY, June 1992
  • D. Murray and A. Basu, “Motion tracking with an active camera,”IEEE Transactions on PAMI, 449-459, May 1994
  • A. Elnagar and A. Basu, “Heuristics for local path planning,”IEEE Transactions on SMC, 624-634, March/April 1993
  • A. Basu, “Optimal discretization for stereo reconstruction,”Pattern Recognition Letters, 813-820, Nov 1992
  • X. Li and A. Basu, “Variable resolution character thinning,”Pattern Recognition Letters, 241-248, April 1992
  • A. Basu and J. Aloimonos, “A robust correspondenceless translation determining algorithm,” International ournal of Robotics Research, October 1990, 35-59
  • A. Basu and C.M. Brown, “Algorithms and Hardware for Efficient Image Smoothing,”Computer Vision, Graphics and Image Processing, vol. 40, 1987, 131-146