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- W1538370767 abstract "In this paper, we address the problem of 3D (three-dimensional) feature matching and reconstruction method with SIFT(scale invariant feature transform)-based algorithm under binocular stereo vision. The technique is fulfilled by camera calibration, image processing, feature detection and 3D calculation. Zhang plane-based calibration and Harris corner point detection method are utilized for Camera calibration. SIFT algorithm is focused as feature extraction and matching algorithm to obtain the image coordinates of matching points. The obtained 3D coordinates are validated by the measurement results with a laser sensor. Finally the depth map of 3D environment is produced with the measured results. VC++.NET and OpenCV are used to compile the algorithm for the experiment in this research." @default.
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- W1538370767 date "2009-08-01" @default.
- W1538370767 modified "2023-09-27" @default.
- W1538370767 title "SIFT-Based 3D Feature Matching and Reconstruction with Binocular Stereo Vision" @default.
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