A survey of image registration techniques
ACM Computing Surveys (CSUR)
A maximum likelihood stereo algorithm
Computer Vision and Image Understanding
Fast and automatic stereo vision matching algorithm based on dynamic programming method
Pattern Recognition Letters
A new region matching method for stereoscopic images
Pattern Recognition Letters
ACM Computing Surveys (CSUR)
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Efficient graph-based energy minimization methods in computer vision
Efficient graph-based energy minimization methods in computer vision
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Energy Minimisation Approach to Stereo-Temporal Dense Reconstruction
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
On-Road Vehicle Detection: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new regions matching for color stereo images
Pattern Recognition Letters
Consistent Depth Maps Recovery from a Video Sequence
IEEE Transactions on Pattern Analysis and Machine Intelligence
An improved variogram analysis of the maximum expected disparity in stereo images
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Stereo by Intra- and Inter-Scanline Search Using Dynamic Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
Enforcing temporal consistency in real-time stereo estimation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
A statistical operator for detecting weak edges in low contrast images
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
| Hi-index | 0.10 |
This paper presents a real-time stereo image sequences matching approach dedicated to intelligent vehicles applications. The main idea of the paper consists in integrating temporal information into the matching scheme. The estimation of the disparity map of an actual frame exploits the disparity map estimated for its preceding frame. An association between the two frames is searched, i.e. temporal integration. The disparity range is inferred for the actual frame based on both the association and the disparity map of the preceding frame. Dynamic programming technique is considered for matching the image features. As a similarity measure, a variance-based cost function is used. The proposed approach is tested on virtual and real stereo image sequences and the results are satisfactory. The method is fast and able to provide about 20 millions disparity maps per second on a HP Pavilion dv6700 2.1GHZ.