Publications

Publications

Journal Papers


Conferences


Patents


  • N. Ahuja and M. Tabb, Multiscale Image Edge and Region Detection Method and Apparatus, U. S. Patent, Issued September 1998.
  • R. Dugad and N. Ahuja, Transform Domain Significant Coefficient Digital Image Watermarking Method, U.S. patent Application filed, June 2000.
  • H. Hua and N. Ahuja, Method and Apparatus for a High-Resolution and Real-Time Panoramic Camera, Patent Application Filed, November 2001.
  • A. Krishnan and N. Ahuja, Imaging Apparatus and Method for Determining Range from Focus and Focus Information, U. S., Patent, Issued September 1995. European Patent issued, October 2001.
  • H. Hua and N. Ahuja, Method and Apparatus for a High-Resolution and Real-Time Panoramic Camera, Patent Application Filed, November 2001.
  • R. Dugad and N. Ahuja, Transformation of Image Parts in Different domains to Obtain Resultant Image Size Different From Initial Image Size, U.S. Patent, Issued October 2004.

Books Authored


  • N. Ahuja and B. Schachter, Pattern Models, Wiley, l983.
  • J. Weng, T. S. Huang and N. Ahuja, Motion and Structure from Image Sequences, Springer-Verlag, 1992.
  • Ming-Hsuan Yang and N. Ahuja, Face Detection and Hand Gesture Recognition for Vision-Based Human Computer Interaction, Kluwer Academic Publishers, 2001.

Books Edited


  • K. Bowyer and N. Ahuja, Advances in Image Understanding: A Festschrift for Azriel Rosenfeld, IEEE Computer Society Press, June 1996.

Book Chapters


  • N. Ahuja, Mosaic Models for Textures. A. Rosenfeld (ed.), Image Modeling,Academic Press, 1981, 1-8. (Also appears in Digital Image Processing and Analysis: Vol. 1, R. Chellappa and A. Sawchuk (Eds.), IEEE Computer Society Press, Washington D. C., 1986.)
  • N. Ahuja and A. Rosenfeld, Image Models. P. R. Krishnaiah and L. N. Kanal (eds.), Handbook of Statistics, Volume 2, North Holland, l982, 383-397.
  • N. Ahuja and S. Swamy, Multiprocessor Pyramid Architectures for Bottom-Up Image Analysis, A. Rosenfeld (ed.), Multiresolution Image Processing and Analysis, Volume 1, Springer-Verlag, 1984, 38-59.
  • J. Veenstra and N. Ahuja, Deriving Object Octrees from Images, G. Goos and J. Hartmanis(eds.), Lecture Notes in Computer Science, 206, (same as Proc. 5th Conf. on Foundations of Software Technology and Theoretical Computer Science, December 16-18, 1985, New Delhi, India, editor: S. N. Maheshwari), Springer-Verlag, 1985, 196-211.
  • N. Ahuja, Texture Analysis, S. Shapiro (ed.), Encyclopedia of Artificial Intelligence, Wiley, 1987, 1101-1115. (Updated Versions Reprinted in second edition, 1992, 1587-1605.)
  • N. Ahuja and M. Tuceryan, Dot Pattern Analysis. S. Shapiro (ed.), Encyclopedia of Artificial Intelligence, Wiley, 1987, 253-256.
  • M. Sharma, N. Ahuja and J. Patel, NETRA: An Architecture for a Large Scale Multiprocessor Vision System, L. Uhr (ed.), Parallel Computer Vision, Academic Press, 1987, 87-105.
  • A. N. Choudhary, S. Das, N. Ahuja and J. Patel, High Speed Stereo, S. Prasad and R. L. Kashyap (Eds.), Spectral Analysis in One or Two Dimensions, Vedam Books International, 1990, 577-590.
  • D. Blostein and N. Ahuja, Shape from Texture: Integrating Texture Element Extraction and Surface Estimation, R. Kasturi and R. C. Jain (Eds.), Computer Vision: Principles, IEEE Computer Society Press, Washington D. C., 1991, 325-343.(Also appears in IEEE Trans. Pattern Analysis and Machine Intelligence, December 1989, 1233-1251.)
  • A. N. Choudhary, J. H. Patel and N. Ahuja, Architecture and Performance Evaluation of NETRA, V. K. Prasanna Kumar (Ed.), Parallel Architectures and Algorithms for Image Understanding, Academic Press, 1991, 251-278.
  • J. Weng, T. Huang and N. Ahuja, Motion and Structure from Two Perspective Views: Algorithm, Error Analysis, and Error Estimation R. Kasturi and R. C. Jain (Eds.), Computer Vision: Advances and Applications, IEEE Computer Society Press, Washington D. C., 1991,352-377. (Also appears in IEEE Trans. Pattern Analysis and Machine Intelligence, May 1989, 451-476.
  • S. Das and N. Ahuja, Integrating Mutilresolution Image Acquisition and Coarse-to-fine Surface Reconstruction from Stereo from Stereo, L. Wolff, S. Shafer and G. Healey (Eds.), Physics Based Vision, Principles and Practice: Radiometry, Jones and Bartlett, 1992, 361-367.
  • J. Weng, T. S. Huang and N. Ahuja, Object Recognition by a Self-Organizing Neural Network which Grows Adaptively, Parallel Image Analysis, A. Nakamura, et.al. (ed.), Springer-Verlag, 1992, 32-33.
  • N. Ahuja, Computer Vision, McGraw-Hill Encyclopedia of Science and Technology,1995.
  • N. Ahuja and R. Charan, Pixel Matching and Motion Segmentation in Image Sequences, Lecture Notes in Computer Science – Recent Developments in Computer Vision, 1035, S. Z. Li, D. P. Mital, E. K. Teoh, and H. Wang(Eds.), Springer-Verlag, 1996, 139-148.
  • N. Ahuja, A Transform for Multiscale Image Segmentation, K. Bowyer and N. Ahuja (Eds.), Advances in Image Understanding: A Festschrift for Azriel Rosenfeld,IEEE Computer Society Press, June 1996, 45-64.
  • N. Ahuja and R. Charan, Curve Detection in 3D Dot Patterns using Voronois Impact on Modern Science, Voronois Impact on Modern Science, H. Syta and P. Engel (Eds.), National Academy of Sciences of Ukraine, Institute of Mathematics, Book II, 1998, 204-212.
  • M. Shaw, N. Ahuja and S. Hutchinson, Coordination, Collaboration, and Control of Multi-Robot Systems, Handbook for Industrial Robotics, 2nd Edition, S. Nof (Ed.), Wiley, 1999,423-437.
  • N. Ahuja and S. Sull, Analysis Guided Video Synthesis for Hyper Reality, N. Terashima and J. Tiffin (Eds.), Hyper Reality: The Infrastructure of the Information Society, Routledge, UK, 2001, 43-53.
  • M. Singh and N. Ahuja, Edge Measures Using Similarity Regions, Foundations of Image Understanding, L. S. Davis (Ed.), Kluwer, 2002, 241-288.
  • I. Atmosukarto, B. Ghanem, M. Saadalla, N. Ahuja, Recognizing Team Formation in American Football, Computer Vision in Sports, Advances in Computer Vision and Pattern Recognition, Springer 2014, 271-291.