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- Computer-aided-diagnosis-for-contrast-enhanced-ul this ia a pdf paper . read it
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- ICISTongLiu This paper investigates a new face recognition system based on an efficient design of classifier using SIFT (Scale Invariant Feature Transform) feature keypoint. This proposed system takes the advantage of SIFT feature which possess strong robustness to the expression
- java版及时通讯系统 采用socket套接字
- GA-PSO 本算法为用遗传算法改进粒子群GA
文件名称:Time_Consistency
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- 上传时间:2012-11-16
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整理一些求取多视角动态场景深度图的文章,利用了场景的空间信息和时间信息-some papers for multiview dynamic depth recovery, which use spatial and temporal information of the scene
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Multi-view Dense Depth Map Estimation_IMMERSCOM2009.pdf
Temporally consistent dense depth map estimation via Belief Propagation_3DTV2009.pdf
Temporally consistent reconstruction from multiple video streams using enhanced belief propagation_ICCV07.pdf
Dense Motion and Disparity Estimation via Loopy Belief Propagation_ACCV06.pdf
Disparity estimation in stereo sequences using scene flow.pdf
Disparity Estimation in Stereo Sequences using Scene Flow_BMVC2009.pdf
Dynamic depth recovery from multiple synchronized video streams_CVPR01.pdf
Dynamic depth recovery using belief propagation_ICIP2003.pdf
Enforcing temporal consistency in real-time stereo estimation_ECCV06.pdf
High-quality video view interpolation using a layered representation_Siggraph2004.pdf
Temporally consistent dense depth map estimation via Belief Propagation_3DTV2009.pdf
Temporally consistent reconstruction from multiple video streams using enhanced belief propagation_ICCV07.pdf
Dense Motion and Disparity Estimation via Loopy Belief Propagation_ACCV06.pdf
Disparity estimation in stereo sequences using scene flow.pdf
Disparity Estimation in Stereo Sequences using Scene Flow_BMVC2009.pdf
Dynamic depth recovery from multiple synchronized video streams_CVPR01.pdf
Dynamic depth recovery using belief propagation_ICIP2003.pdf
Enforcing temporal consistency in real-time stereo estimation_ECCV06.pdf
High-quality video view interpolation using a layered representation_Siggraph2004.pdf
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