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分野コンピュータビジョンコンピュータビジョン
系統Machine learningMachine learning
提唱年1990s1988
提唱者David Scharstein and Richard SzeliskiChris Harris and Mike Stephens
種類Depth estimation and 3D visionInterest point detector
原典Scharstein, D., & Szeliski, R. (2002). A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision, 47(1), 7–42. DOI ↗Harris, C., & Stephens, M. (1988). A combined corner and edge detector. Alvey Vision Conference, 147–152. link ↗
別名Stereo correspondence, Disparity estimationHarris Corner Detector, Harris-Stephens Detector, Plessey Operator
関連55
概要Stereo matching is a computer vision technique for recovering depth information by finding corresponding points between a pair of stereo images (taken from slightly different viewpoints). By locating the same scene feature in both images and measuring the disparity (horizontal shift), stereo matching reconstructs 3D structure using the principles of triangulation.The Harris corner detector, introduced by Chris Harris and Mike Stephens in 1988, is a foundational method for identifying corners and interest points in digital images. Harris corners are points where two edges meet at a significant angle, making them stable and repeatable features for image analysis, matching, and 3D reconstruction.
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ScholarGate手法を比較: Stereo Matching · Harris Corner Detection. 2026-06-18に以下より取得 https://scholargate.app/ja/compare