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深入浅出介绍计算机视觉的最新动态。内容包括：
* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration
* Extracting camera motion and scene structure from image sequences
* Robust regression for model fitting using M-estimators, RANSAC, and
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3D/3D+2D人脸识别算法的优势的一篇综述论文 Advances and challenges in 3D and 2D+3D human face recognition-3D/3D+ 2D face recognition algorithm is an overview paper advantage Advances and challenges in 3D and 2D+ 3D human face recognition
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在VS2008和opencv下，对2D/3D点(云)数据实现三角剖分，运算速度快，实时性好，计算精度高，并对三角剖分进行了优化，可以处理复杂点集的三角剖分，可以用于人脸识别的工作-In the VS2008 and opencv, the pairs of 2D/3D points (cloud) data to achieve triangulation, calculation speed, real-time performance is good, high precision, and
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2D and 3D face recognition: A survey
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The aim of the project was to propose a method for reliable detection and extraction of
facial features in two and three dimensions.
Several 2D methods were attempted – edge detection, intensity scanning, and Gabor
transform. The Gabor transfor
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Abstract. We present a novel 3D face recognition approach based on
geometric invariants introduced by Elad and Kimmel. The key idea of
the proposed algorithm is a representation of the facial surface, invari-
ant to isometric deformations, such
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2d 和 3d 人脸识别方法的论文，比较权威。值得参考学习。-2D and 3D face recognition method of the thesis, the authoritative. Worthy of study and reference.
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