Space variant image processing-Reference-Cited by-同舟云学术

Space variant image processing

Published:1994-09 Issue:1 Volume:13 Page:71-90
ISSN:0920-5691
Container-title:International Journal of Computer Vision
language:en
Short-container-title:Int J Comput Vision

Author:

Wallace Richard S.,Ong Ping-Wen,Bederson Benjamin B.,Schwartz Eric L.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/BF01420796.pdf

Reference50 articles.

1. Dana Ballard and Christopher Brown.Computer Vision. Prentice-Hall, 1982.

2. Aijaz A. Baloch and Allen M. Waxman. A neural system for behavioral conditioning of mobile robots.International Joint Conference on Neural Networks, pages 723?728, June 1990.

3. Benjamin B. Bederson.A miniature space-variant active vision system: Cortex-I. PhD thesis, New York University, Courant Institute, 1992.

4. Benjamin B. Bederson. A miniature space-variant active vision system: Cortex-I. Technical Report 266, New York University, Computer Science, Robotics Research, June 1992.

5. Benjamin B. Bederson, Richard S. Wallace, and Eric L. Schwartz. A miniaturized active vision system. Technical Report 255, New York University, Computer Science, Robotics Research, October 1991.

Cited by 71 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. P‐4.3: An Adaptive Foveal Image Transmission Algorithm Based on Human Eye Gaze Point;SID Symposium Digest of Technical Papers;2023-04

2. A Communication-Based Model of Consciousness;Journal of Artificial Intelligence and Consciousness;2022-08-20

3. Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral Vision;Frontiers in Computational Neuroscience;2021-11-22

4. A Log-Rectilinear Transformation for Foveated 360-degree Video Streaming;IEEE Transactions on Visualization and Computer Graphics;2021-05

5. An Experiment with Random Walks and GrabCut in One Cut Interactive Image Segmentation Techniques on MRI Images;Computational Vision and Bio-Inspired Computing;2020