Subpixel Accuracy Image Edge with Quality Indicator Aided toDense Stereo Matching

• Main Authors: Ting-Fang Chiu, 邱鼎方
• Other Authors: 趙鍵哲
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/w8agrv

碩士 === 國立臺灣大學 === 土木工程學研究所 === 106 === The integrity of geometric edge is vital to the high-quality 3-D scene representation. Thus, under the task of automated as well as successful 3-D scene or object reconstruction by photogrammetric approaches, edge detection becomes an indispensable essential. Various edge detection techniques can only provide the locations of edge up to one pixel accuracy level, which may still incur significant intersection error when dealing with acute depth discontinuities. In this study, Edge Drawing and moment equation are employed to detect subpixel accuracy edges. Then the depth discontinuities based on the subpixel accuracy edges’ quality are applied as constraints in local matching method to initiate a good approximation of disparity, and followed by the modified semi-global matching method to optimize the disparity. The maximum quality gain of subpixel accuracy edge detection aided to dense stereo matching, especially in depth discontinuities, is realized by the image pairs with ground truth disparity. The experimental data consists of indoor images, outdoor close-range images and aerial images. The results of various tests prove that the subpixel accuracy edges with quality indictors can benefit dense stereo matching effectively. The quality indicators of detected edges proposed in this study provide the information about the degree of high quality geometric edges in supporting dense stereo matching around depth discontinuities, thus weakly edge-constrained region can be identified and complementary alternatives can be further integrated to enhance the matching results.