EFFECTIVE STEREO MATCHING METHODOLOGIES FOR STEREO VISION APPLICATION

Authors

  • V. Kavitha1, DR. G. Balakrishnan2 1Research Scholar, Bharathiyar University 2Director, Department of Computer Science Engineering, Indira Ganesan College of Engineering, Trichy.

Abstract

Stereo vision is the process of extracting 3D information from multiple 2D views of a scene. The 3D information can be obtained from a pair of images, also known as a stereo pair, by estimating the relative depth of points in the scene. These estimates are represented in a stereo disparity map, which is constructed by matching corresponding points in the stereo pair. Stereo images are rectified to simplify matching, so that a corresponding point in one image can be found in the same row in the other image. This reduces the 2D stereo correspondence problem to a 1D problem. Stereo image rectification is achieved by determining a set of matched interest points, estimating the fundamental matrix, and then deriving two projective transformations. Keywords: Stereo vision, 3D information, 2D views of a scene and 2D stereo correspondence problem

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Published

2015-06-30

How to Cite

Balakrishnan2, V. K. D. G. (2015). EFFECTIVE STEREO MATCHING METHODOLOGIES FOR STEREO VISION APPLICATION. International Journal of Engineering Technology and Computer Research, 3(3). Retrieved from https://www.ijetcr.org/index.php/ijetcr/article/view/172

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