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Using Superpixels in Monocular SLAM

by Alejo Concha, Javier Civera
"... have been traditionally based on finding point correspondences in highly-textured image areas. Large textureless regions, usu-ally found in indoor and urban environments, are difficult to reconstruct by these systems. In this paper we augment for the first time the traditional point-based monocular ..."
Abstract - Cited by 6 (2 self) - Add to MetaCart
have been traditionally based on finding point correspondences in highly-textured image areas. Large textureless regions, usu-ally found in indoor and urban environments, are difficult to reconstruct by these systems. In this paper we augment for the first time the traditional point-based monocular

A Multiresolutional Region Based Segmentation Scheme for Stereoscopic Image Compression

by Sriram Sethuraman, M. W. Siegel, Angel G. Jordan - Proc. of the IS&T/SPIE Symp. on Electronic Imaging, Digital Video Compression-Algorithms and Technologies , 1995
"... Stereoscopic image sequence transmission over existing monocular digital transmission channels, without seriously affecting the quality of one of the image streams, requires a very low bit-rate coding of the additional stream. Fixed block-size based disparity estimation schemes cannot achieve such l ..."
Abstract - Cited by 14 (3 self) - Add to MetaCart
such low bit-rates without causing severe edge artifacts. Also, textureless regions lead to spurious matches which hampers the efficient coding of block disparities. In this paper, we propose a novel disparitybased segmentation approach, to achieve an efficient partition of the image into regions of more

Binocular Helmholtz Stereopsis

by Todd E. Zickler, Jeffrey Ho, David J. Kriegman, Jean Ponce, Peter N. Belhumeur - In Proc. Int. Conf. on Computer Vision , 2003
"... Helmholtz stereopsis has been introduced recently as a surface reconstruction technique that does not assume a model of surface reflectance. In the reported formulation, correspondence was established using a rank constraint, necessitating at least three viewpoints and three pairs of images. Here, i ..."
Abstract - Cited by 20 (1 self) - Add to MetaCart
) for objects having an arbitrary and unknown BRDF and in textureless regions (i.e., regions of constant or slowly varying BRDF). An implementation and experimental results validate the method for specular surfaces with and without texture. 1

Non-rigid Image Registration based on the Globally Optimized Correspondences

by Hyung Il Koo, Jung Gap Kuk, Nam Ik Cho
"... In this paper, we propose a new approach to the non-rigid image registration. This problem can be easily attacked if we can find regularly distributed correspondence points over the whole image or over the objects of interest. Dense and stable image registration can be achieved by using some natural ..."
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natural mapping (e.g., Thin Plate Spline) of these correspondences. However, the problems with conventional correspondence matching methods are that the features can rarely be found at the textureless regions and the matching accuracy is degraded at the parts with non-rigid motions. In order to find

2ESAT-PSI/VISICS 3Microsoft Live Labs

by Qingxiong Yang, Chris Engels, Amir Akbarzadeh, K. U. Leuven
"... Several real-time/near real-time stereo algorithms can currently provide accurate 3D reconstructions for well-textured scenes. However, most of these fail in sufficiently large regions that are weakly textured. Conversely, other scene reconstruction algorithms assume strong planarity in the environm ..."
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in the environment. Such approaches can handle lack of texture, but tend to force nonplanar objects onto planes. We propose a compromise approach that prefers stereo depth estimates but can replace estimates in textureless regions with planes in a principled manner at near real-time rates. Our approach segments

Integrating LIDAR into Stereo for Fast and Improved Disparity Computation

by Hernán Badino, Daniel Huber, Takeo Kanade
"... Abstract—The fusion of stereo and laser range finders (LIDARs) has been proposed as a method to compensate for each individual sensor’s deficiencies − stereo output is dense, but noisy for large distances, while LIDAR is more accurate, but sparse. However, stereo usually performs poorly on texturele ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
of the resulting disparity image on textureless regions. We demonstrate with extensive experimental results with real data that the disparity estimation is substantially improved while speeding up the stereo computation by as much as a factor of five. Keywords-stereo; LIDAR; sensor fusion; dynamic programming

Extracting View-Dependent Depth Maps from a Collection of Images

by Sing Bing Kang, Richard Szeliski , 2004
"... Stereo correspondence algorithms typically produce a single depth map. In addition to the usual problems of occlusions and textureless regions, such algorithms cannot model the variation in scene or object appearance with respect to the viewing position. In this paper, we propose a new representati ..."
Abstract - Cited by 28 (1 self) - Add to MetaCart
Stereo correspondence algorithms typically produce a single depth map. In addition to the usual problems of occlusions and textureless regions, such algorithms cannot model the variation in scene or object appearance with respect to the viewing position. In this paper, we propose a new

Extracting layers and analyzing their specular properties using epipolar-plane-image analysis

by Antonio Criminisi, Sing Bing Kang, Rahul Swaminathan, Richard Szeliski, P. An - Computer Vision and Image Understanding , 2002
"... Despite progress in stereo reconstruction and structure from motion, three-dimensional scene reconstruction from multiple images still faces many difficulties, especially in dealing with occlusions, partial visibility, textureless regions and specular reflections. Moreover, the problem of recovering ..."
Abstract - Cited by 45 (3 self) - Add to MetaCart
Despite progress in stereo reconstruction and structure from motion, three-dimensional scene reconstruction from multiple images still faces many difficulties, especially in dealing with occlusions, partial visibility, textureless regions and specular reflections. Moreover, the problem

Sparse IBR Using Range Space Rendering

by Dan Kong, Hai Tao, Hector H. Gonzalez-banos
"... In this paper, we propose a new solution to the sparse image-based rendering (IBR) problem. Given two images taken from different viewpoints, our algorithm can accurately generate images from new viewpoints in between the original two views. This paper contributes to the sparse IBR in the following ..."
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aspects: (1) Direct range space matching and multiple depth maps rendering. (2) Good rendering can be achieved with incorrect depth values, especially those textureless regions.(3) An efficient coarse-to-fine strategy to accelerate rendering and avoid problems caused by repetitive patterns. (4) A weak

c ○ 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands. Image-Based Rendering Using Image-Based Priors

by Andrew Fitzgibbon, Andrew Zisserman , 2003
"... Abstract. Given a set of images acquired from known viewpoints, we describe a method for synthesizing the image which would be seen from a new viewpoint. In contrast to existing techniques, which explicitly reconstruct the 3D geometry of the scene, we transform the problem to the reconstruction of c ..."
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of colour rather than depth. This retains the benefits of geometric constraints, but projects out the ambiguities in depth estimation which occur in textureless regions. On the other hand, regularization is still needed in order to generate high-quality images. The paper’s second contribution
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