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检索条件"任意字段=2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013"
4488 条 记 录,以下是4401-4410 订阅
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Depth from focus with one image
Depth from focus with one image
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Jahne Geissler Scripps Institution of Oceanography University of California San Diego CA USA Institute for Environmental Physics University of Heidelberg Heidelberg Germany
A novel depth-from-focus technique is introduced that needs only a single image. It is based on a precise knowledge of the 3-D point spread function and requires objects of uniform brightness and simple shapes. Using ... 详细信息
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X-Y separable pyramid steerable scalable kernels
X-Y separable pyramid steerable scalable kernels
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Shy Perona California Institute of Technology Pasadena CA USA California Institute of Technology Universita di Padova Pasadena CA USA
A new method for generating X-Y separable, steerable, scalable approximations of filter kernels is proposed which is based on a generalization of the singular value decomposition (SVD) to three dimensions. This "... 详细信息
来源: 评论
Overcomplete steerable pyramid filters and rotation invariance
Overcomplete steerable pyramid filters and rotation invarian...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Greenspan Belongie Goodman Perona Rakshit Anderson Department of Electrical Engineering California Institute of Technology Pasadena CA USA Department of Anatomy and Neurobiology Washington University School of Medicine Saint Louis MO USA
A given (overcomplete) discrete oriented pyramid may be converted into a steerable pyramid by interpolation. We present a technique for deriving the optimal interpolation functions (otherwise called 'steering coef... 详细信息
来源: 评论
Deformable boundary finding influenced by region homogeneity
Deformable boundary finding influenced by region homogeneity
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Chakraborty Staib Duncan Departments of Electrical Engineering and Diagnostic Radiology Yale University New Heaven CT USA
Accurately segmenting and quantifying structures is a key issue in biomedical image analysis. The two conventional methods of image segmentation, region-based segmentation and boundary finding, often suffer from a var... 详细信息
来源: 评论
Relative affine structure: theory and application to 3D reconstruction from perspective views
Relative affine structure: theory and application to 3D reco...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Shashua Navab Artificial Intelligence Laboratory Center for Biol. and Comp. Learning Massachusetts Institute of Technology Cambridge MA USA The Media Laboratory Perceptual Computing Group Massachusetts Institute of Technology Cambridge MA USA
We propose an affine framework for perspective views, captured by a single extremely simple equation based on a viewer-centered invariant we call relative affine structure. Via a number of corollaries of our main resu... 详细信息
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Adaptive polynomial modelling of the reflectance map for shape estimation from stereo and shading
Adaptive polynomial modelling of the reflectance map for sha...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Hougen Ahuja Beckman Institute and Coordinated Sciences Laboratory University of Illinois Urbana IL USA
This paper is concerned with estimation of the reflectance map and its use in surface shape estimation by a method that combines stereo and shading information. There are many advantages to the integrated approach. Ho... 详细信息
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Pictures and trails: a new framework for the computation of shape and motion from perspective image sequences
Pictures and trails: a new framework for the computation of ...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Tomasi Computer Science Department University of Stanford Stanford CA USA
This paper presents a new framework for the computation of shape and motion from a sequence of images taken under perspective projection. The framework is based on two abstractions, the picture and trail loci, that re... 详细信息
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Good features to track
Good features to track
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Jianbo Shi Tomasi Computer Science Department Cornell University Ithaca NY USA Computer Science Department University of Stanford Stanford CA USA
No feature-based vision system can work unless good features can be identified and tracked from frame to frame. Although tracking itself is by and large a solved problem, selecting features that can be tracked well an... 详细信息
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Illumination planning for object recognition in structured environments
Illumination planning for object recognition in structured e...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Murase Nayar NTT Basic Research Laboratories Atsugi Kanagawa Japan Department of Computer Science Columbia University New York NY USA
This paper addresses the problem of illumination planning for robust object recognition in structured environments. Given a set of objects, the goal is to determine the illumination for which the objects are most dist... 详细信息
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Emerging hypothesis verification using function-based geometric models and active vision strategies
Emerging hypothesis verification using function-based geomet...
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ieee computer Society conference on computer vision and pattern recognition workshops (cvprw)
作者: Lam West Venkatesh Department of Computer Science School of Computing Curtin University of Technology Australia
This paper describes an investigation into the use of parametric 2D models describing the movement of edges for the determination of possible 3D shape and hence function of an object. An assumption of this research is... 详细信息
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