Fast correlation-based stereo matching with the reduction of systematic errors

Authors:
Sukjune Yoon;Sung-Kee Park;Sungchul Kang;Yoon Keun Kwak
Affiliations:
Department of Mechanical Engineering, Korea Advanced Institute of Science & Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Republic of Korea;Department of Mechanical Engineering, Korea Advanced Institute of Science & Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Republic of Korea;Department of Mechanical Engineering, Korea Advanced Institute of Science & Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Republic of Korea;Department of Mechanical Engineering, Korea Advanced Institute of Science & Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Republic of Korea
Venue:
Pattern Recognition Letters
Year:
2005

Citing 8
Cited 5

Stereo vision for planetary rovers: stochastic modeling to near real-time implementation

International Journal of Computer Vision
A compact algorithm for rectification of stereo pairs

Machine Vision and Applications
Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation

International Journal of Computer Vision
Real-Time Correlation-Based Stereo Vision with Reduced Border Errors

International Journal of Computer Vision
A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment

IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Stereo with Multiple Windowing

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Dense Disparity Maps in Real-Time with an Application to Augmented Reality

WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Stereoscopic ranging by matching image modulations

IEEE Transactions on Image Processing

Stereovision-Based Algorithm for Obstacle Avoidance

ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Obtaining Reliable Depth Maps for Robotic Applications from a Quad-Camera System

ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Stereo vision for robotic applications in the presence of non-ideal lighting conditions

Image and Vision Computing
Biologically and psychophysically inspired adaptive support weights algorithm for stereo correspondence

Robotics and Autonomous Systems
A correlation-based approach for real-time stereo matching

ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II

Quantified Score

Hi-index	0.10

Visualization

Abstract

The purpose of this work is to develop a stereo matching algorithm that produces a dense disparity map for a real time vision system. Generally, correlation-based correspondence algorithms produce systematic errors at depth discontinuities, including half occluded areas, and require significant computational power. To solve these problems, we identify the properties of these areas containing matching errors and carry out an error compensation process with an effective implementation.