Description: 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 Hough transforms
* Image-based lighting for illuminating scenes and objects with real-world light images
* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
* Face detection, alignment, and recognition--with new solutions for key challenges
* Perceptual interfaces for integrating vision, speech, and haptic modalities
* Development with the Open Source Computer Vision Library (OpenCV)
* The new SAI framework and patterns for architecting computer vision applications Platform: |
Size: 12192309 |
Author:kankan |
Hits:
Description: 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 Hough transforms
* Image-based lighting for illuminating scenes and objects with real-world light images
* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
* Face detection, alignment, and recognition--with new solutions for key challenges
* Perceptual interfaces for integrating vision, speech, and haptic modalities
* Development with the Open Source Computer Vision Library (OpenCV)
* The new SAI framework and patterns for architecting computer vision applications-Easy to introduce the latest developments in computer vision. Include:* 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 Hough transforms* Image-based lighting for illuminating scenes and objects with real-world light images* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more* Face detection, alignment, and recognition- with new solutions for key challenges* Perceptual interfaces for integrating vision, speech, and haptic modalities* Development with the Open Source Computer Vision Library (OpenCV)* The new SAI framework and patterns for architecting computer vision applications Platform: |
Size: 12191744 |
Author:kankan |
Hits:
Description: 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 Platform: |
Size: 1457152 |
Author:who |
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Description: 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 triangulation is optimized to handle complex point set triangulation can be used in the work of face recognition Platform: |
Size: 146432 |
Author:三角剖分VC++ |
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Description: 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 transform method included much filtering. The edge detection and
intensity scanning methods were largely unreliable. The Gabor transform method was
highly reliable under controlled conditions, and about 60 reliable under uncontrolled
conditions, when it was tested on the Yale Database.
3D methods were attempted, but were never successfully implemented.
The 2D aim was largely met by the Gabor transform method.
The aim was not fulfilled in 3D.
The aim in terms of extraction was fulfilled by an anthropometrical method based on the
work of Kwok-Wai Wong et al.
3-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 transform method included much filtering. The edge detection and
intensity scanning methods were largely unreliable. The Gabor transform method was
highly reliable under controlled conditions, and about 60 reliable under uncontrolled
conditions, when it was tested on the Yale Database.
3D methods were attempted, but were never successfully implemented.
The 2D aim was largely met by the Gabor transform method.
The aim was not fulfilled in 3D.
The aim in terms of extraction was fulfilled by an anthropometrical method based on the
work of Kwok-Wai Wong et al.
3 Platform: |
Size: 910336 |
Author:brahmia djaber |
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Description: 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 as those resulting from different
expressions and postures of the face. The obtained geometric invariants
allow mapping 2D facial texture images into special images that incor-
porate the 3D geometry of the face. These signature images are then
decomposed into their principal components. The result is an efficient
and accurate face recognition algorithm that is robust to facial expres-
sions. We demonstrate the results of our method and compare it to ex-
isting 2D and 3D face recognition algorithms. Platform: |
Size: 434176 |
Author:arkan |
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Description: 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. Platform: |
Size: 1754112 |
Author:张鹏 |
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Search - 2D 3D face recognition