Real-Time Scan-Line Segment Based Stereo Vision for the Estimation of Biologically Motivated Classifier Cells-Reference-Cited by-同舟云学术

Real-Time Scan-Line Segment Based Stereo Vision for the Estimation of Biologically Motivated Classifier Cells

Published:2009 Issue: Volume: Page:89-96
ISSN:0302-9743
Container-title:KI 2009: Advances in Artificial Intelligence
language:
Short-container-title:

Author:

Shafik M. Salah E. -N.,Mertsching Bärbel

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-04617-9_12

Reference21 articles.

1. Shafik, M., Mertsching, B.: Enhanced motion parameters estimation for an active vision system. Pattern Recognition and Image Analysis 18(3), 370–375 (2008)

2. Aziz, Z., Mertsching, B.: Fast and robust generation of feature maps for region-based visual attention. IEEE Trans. on Image Processing (5), 633–644 (2008)

3. Massad, A., Jesikiewicz, M., Mertsching, B.: Space-variant motion analysis for an active-vision system. In: Advanced Concepts for Intelligent Vision Systems, Ghent, Belgium (2002)

4. Scharstein, D., Szeliski, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. Int. Journal of Computer Vision 47(1/2/3), 7–42 (2002)

5. Lei, C., Selzer, J., Yang, Y.: Region-tree based stereo using dynamic programming optimization. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition 2, 2378–2385 (2006)

Cited by 2 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. Fast Depth Saliency from Stereo for Region-Based Artificial Visual Attention;Advanced Concepts for Intelligent Vision Systems;2010

2. Validating Vision and Robotic Algorithms for Dynamic Real World Environments;Simulation, Modeling, and Programming for Autonomous Robots;2010