Results 1 - 10 of 55

Dealing with textureless regions and specular highlights — a progressive space carving scheme using a novel photo-consistency measure

by Ruigang Yang, Marc Pollefeys, Greg Welch - In Int. Conf. Computer Vision , 2003
"... We present two extensions to the Space Carving framework. The first is a progressive scheme to better reconstruct surfaces lacking sufficient textures. The second is a novel photo-consistency measure that is valid for both specular and diffuse surfaces, under unknown lighting conditions. 1 ..."
Abstract - Cited by 46 (3 self) - Add to MetaCart
We present two extensions to the Space Carving framework. The first is a progressive scheme to better reconstruct surfaces lacking sufficient textures. The second is a novel photo-consistency measure that is valid for both specular and diffuse surfaces, under unknown lighting conditions. 1

Textureless Layers

by Qifa Ke, Simon Baker, Takeo Kanade , 2004
"... Layers are one of the most well studied ways of representing a 3D scene. Although manmade scenes often contain constant intensity planar regions (textureless layers), it is almost always assumed that there is enough texture in each layer to compute the motion of the layer using image alignment and t ..."
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Layers are one of the most well studied ways of representing a 3D scene. Although manmade scenes often contain constant intensity planar regions (textureless layers), it is almost always assumed that there is enough texture in each layer to compute the motion of the layer using image alignment

A database and evaluation methodology for optical flow

by Simon Baker, Daniel Scharstein, J. P. Lewis, Stefan Roth, Michael J. Black, Richard Szeliski - In Proceedings of the IEEE International Conference on Computer Vision , 2007
"... The quantitative evaluation of optical flow algorithms by Barron et al. (1994) led to significant advances in performance. The challenges for optical flow algorithms today go beyond the datasets and evaluation methods proposed in that paper. Instead, they center on problems associated with complex n ..."
Abstract - Cited by 407 (22 self) - Add to MetaCart
by Barron et al., we compute the absolute flow endpoint error, measures for frame interpolation error, improved statistics, and results at motion discontinuities and in textureless regions. In October 2007, we published the performance of several well-known methods on a preliminary version of our data

Modified Region Growing for Stereo of Slant and Textureless Surfaces ⋆

by Rohith Mv, Gowri Somanath, Ra Kambhamettu, Cathleen Geiger, David Finnegan
"... Abstract. In this paper, we present an algorithm for estimating disparity for images containing large textureless regions. We propose a fast and efficient region growing algorithm for estimating the stereo disparity. Though we present results on ice images, the algorithm can be easily used for other ..."
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Abstract. In this paper, we present an algorithm for estimating disparity for images containing large textureless regions. We propose a fast and efficient region growing algorithm for estimating the stereo disparity. Though we present results on ice images, the algorithm can be easily used

JOURNAL OF LATEX CLASS FILE (REVISED) 1 Optimal Local Searching for Fast and Robust Textureless 3D Object Tracking in Highly Cluttered Backgrounds

by Byung-kuk Seo, Stefan Hinterstoisser, Slobodan Ilic
"... Abstract—Edge-based tracking is a fast and plausible approach for textureless 3D object tracking, but its robustness is still very challenging in highly cluttered backgrounds due to numerous local minima. To overcome this problem, we propose a novel method for fast and robust textureless 3D object t ..."
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textureless 3D object tracking even in highly cluttered backgrounds. Index Terms—Edge-based tracking, model-based tracking, background clutter, local searching, region knowledge 1

Global Matching Criterion and Color Segmentation Based Stereo

by Hai Tao, Harpreet S. Sawhney - in Proc. Workshop on the Application of Computer Vision (WACV2000 , 2000
"... In this paper, we present a new analysis by synthesis computational framework for stereo vision. It is designed to achieve the following goals: (1) enforcing global visibility constraints, (2) obtaining reliable depth for depth boundaries and thin structures, (3) obtaining correct depth for texturel ..."
Abstract - Cited by 39 (5 self) - Add to MetaCart
for textureless regions, and (4) hypothesizing correct depth for unmatched regions. The framework employs depth and visibility based rendering within a global matching criterion to compute depth in contrast with approaches that rely on local matching measures and relaxation. A color segmentation based depth

or ic

by Qing Zhu A, Bo Wu A, Yixiang Tian A
"... strategies are also presented. To compare these strategies, a stereo pair with typic texture features is employed to describe the However, they still meet many problems in the case of larger scale images of nature, especially in the dense city centers, forestry areas and the textureless regions such ..."
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strategies are also presented. To compare these strategies, a stereo pair with typic texture features is employed to describe the However, they still meet many problems in the case of larger scale images of nature, especially in the dense city centers, forestry areas and the textureless regions such as

Segment-based stereo matching using graph cuts

by Li Hong, George Chen , 2004
"... In this paper, we present a new segment-based stereo matching algorithm using graph cuts. In our approach, the reference image is divided into non-overlapping homogeneous segments and the scene structure is represented as a set of planes in the disparity space. The stereo matching problem is formula ..."
Abstract - Cited by 79 (0 self) - Add to MetaCart
is comparable to the state-ofthe-art stereo algorithms on various data sets. Furthermore, strong performance is achieved in the conventionally difficult areas such as: textureless regions, disparity discontinuous boundaries and occluded portions. 1.

Region-based Depth Estimation for Real-time Stereo

by unknown authors
"... General stereo systems suffer from ambiguity in matching points on homogeneous regions and occluded surfaces. It results in missing or incorrect disparity on these types of surfaces. This ambiguity cannot be easily resolved in typical pixel based disparity estimation schemes. In this paper, a region ..."
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regionbased stereo matching is proposed to overcome the fragility of pixel based approaches while obtaining dense disparity maps. The proposed scheme estimates disparity on textureless regions by exploiting constraint from the surrounding boundary points at intensity discontinuity. Occluded surface

Improving Depth Maps by Nonlinear Diffusion

by Jianfeng Yin, Jeremy R. Cooperstock , 2004
"... Dense depth maps, typically produced by stereo algorithms, are essential for various computer vision applications. For general configurations in which the cameras are not necessarily parallel or close together, it often proves difficult to obtain reasonable results for complex scenes, in particular ..."
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in occluded or textureless regions. To improve the depth map in such regions, we propose a post-processing method and illustrate its benefits to applications such as 3D reconstruction or foreground segmentation of a user in a scene.
Results 1 - 10 of 55