Y2002-63473-603 0328980应用力直方图的医学图象数据库的空间故障检索=Spatial lesion indexing for medical image databases usingforce histograms[会,英]/Shyu,C.-R.& Matsakis,P.//2001 ieeecomputersocietyconference on ...
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Y2002-63473-603 0328980应用力直方图的医学图象数据库的空间故障检索=Spatial lesion indexing for medical image databases usingforce histograms[会,英]/Shyu,C.-R.& Matsakis,P.//2001 ieeecomputersocietyconference on Com-puter vision and patternrecognition,Vol.2.
Y2002-63473-31 0329273应用空中照片和激光器地平面扫描的城市3维模型产生=3D model generation for cities using aerial pho-tographs and ground level laser scans[会,英]/Fruh,C.＆ Zakhot,A.//2001 ieeecomputersociety Confer...
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Y2002-63473-31 0329273应用空中照片和激光器地平面扫描的城市3维模型产生=3D model generation for cities using aerial pho-tographs and ground level laser scans[会,英]/Fruh,C.＆ Zakhot,A.//2001 ieeecomputersociety Confer-ence on computervision and pattern ***.2.
The proceedings contains 158 papers from 2001 ieeecomputersocietyconference on computervision and patternrecognition. The topics discussed include: image indexing, image segmentation, computervision, image codin...
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The proceedings contains 158 papers from 2001 ieeecomputersocietyconference on computervision and patternrecognition. The topics discussed include: image indexing, image segmentation, computervision, image coding, patternrecognition systems, image magnification, video inpainting, visual tracking, motion estimation, face recognition, imaging systems, character recognition and feature clustering.
Y2002-63473-477 0327730摄影透镜失真的非量度校准的不同方法=Differentialmethods for nonmetric calibration of camera lens distor—tion(会,英]/Ahmed,M.T.& Farag,A.A.//2001ieeecomputersocietyconference on computer V...
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Y2002-63473-477 0327730摄影透镜失真的非量度校准的不同方法=Differentialmethods for nonmetric calibration of camera lens distor—tion(会,英]/Ahmed,M.T.& Farag,A.A.//2001ieeecomputersocietyconference on computervisionand patternrecognition,Vol.2.
Y2002-63473-240 0328478应用支持矢量机回归的目标跟踪=Tracking of objectwith SVM regression[会,英]/Zhu,W.＆Wang,S.//2001 ieeecomputersocietyconference on computervision and pattern ***.2.
Y2002-63473-240 0328478应用支持矢量机回归的目标跟踪=Tracking of objectwith SVM regression[会,英]/Zhu,W.＆Wang,S.//2001 ieeecomputersocietyconference on computervision and pattern ***.2.
conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover...
ISBN:
(纸本)0769512720
conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original conference proceedings.
While computervision systems often assume simple illumination models, real-world illumination is highly complex, consisting of reflected light from every direction as well as distributed and localized primary light s...
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While computervision systems often assume simple illumination models, real-world illumination is highly complex, consisting of reflected light from every direction as well as distributed and localized primary light sources. One can capture the illumination incident at a point in the real world from every direction photographically using a spherical illumination map. This paper illustrates, through analysis of photographically-acquired, high dynamic range. illumination maps, that real-world illumination shares many of the statistical properties of natural images. In particular, the marginal and joint wavelet coefficient distributions, directional derivative distributions, and harmonic spectra of illumination maps resemble those documented in the natural image statistics literature. However, illumination maps differ from standard photographs in that illumination maps are statistically non-stationary and may contain localized light sources that dominate their power spectra. Our work provides a foundation for statistical models of real-world illumination that may facilitate robust estimation of shape, reflectance, and illumination from images.
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