Affiliation:
1. Shenyang Jianzhu University
2. Sany Heavy Equipment Co., Ltd
Abstract
In this paper we present a fast indoor stereo matching algorithm based on canny edge detection and line moments. We first detect image edge by using Canny operator, then find the target objects according line moments, the feature points of the objects’ contours are extracted. Finally, matching the pixel in stereo image pair according the angle vector. The algorithm effectively reduces the computational complexity, computational cost is decreased greatly. The experimental results show that the algorithm is possible and valid.
Publisher
Trans Tech Publications, Ltd.
Reference5 articles.
1. L. Zhang, D. Wang, and A. Vincent: Adaptive Reconstruction of Intermediate Views from Stereoscopic Images, IEEE Trans. Circuits Syst. Video Technol. Vol. 16 (2006), p.102.
2. D. Scharstein, R. Szeliski: A Taxonomy and Evaluation of Dense Two-frame Sereo Correspondence Algorithms. IJCV 47 (2002), p.7.
3. H. Zhang, L. T. Zhang, L. Wang: A New Binocular Vision Stereo Matching Algorithm, Applied Mechanics and Materials . Vol. 389(2013), p.721.
4. Lowe D. G: Distinctive Image Features from Scale-invariant Keypoints, International Journal of Computer Vision, Vol. 60 (2) 2004, p.91.
5. L. Zhang: A Fast Stereo Matching Algorithm for Stereoscopic Intermediate View Reconstruction, in Proc. IEE Eur. Conf. Visual Media Production. Nov. (2005).
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2 articles.
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