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A multi-view approach to motion and stereo
Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), 2003This paper presents a new approach to computing dense depth and motion estimates from multiple images. Rather than computing a single depth or motion map from such a collection, we associate motion or depth estimates with each image in the collection (or at least some subset of the images).
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Occluding Contours for Multi-view Stereo
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014This paper leverages occluding contours (aka "internal silhouettes") to improve the performance of multi-view stereo methods. The contributions are 1) a new technique to identify free-space regions arising from occluding contours, and 2) a new approach for incorporating the resulting free-space constraints into Poisson surface reconstruction.
Qi Shan +4 more
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Hallucination-Free Multi-View Stereo
2012We present a multi-view stereo method that avoids producing hallucinated surfaces which do not correspond to real surfaces. Our approach to 3D reconstruction is based on the minimal s-t cut of the graph derived from the Delaunay tetrahedralization of a dense 3D point cloud, which produces water-tight meshes.
Michal Jancosek, Tomás Pajdla
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Multi-View Multi-Exposure Stereo
Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06), 2006Multi-view stereo algorithms typically rely on same-exposure images as inputs due to the brightness constancy assumption. While state-of-the-art depth results are excellent, they do not produce high-dynamic range textures required for high-quality view reconstruction.
Alejandro J. Troccoli +2 more
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Scale Robust Multi View Stereo
2012We present a Multi View Stereo approach for huge unstructured image datasets that can deal with large variations in surface sampling rate of single images. Our method reconstructs surface parts always in the best available resolution. It considers scaling not only for large scale differences, but also between arbitrary small ones for a weighted merging
Christian Bailer +2 more
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Handling occlusions in dense multi-view stereo
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2005While stereo matching was originally formulated as the recovery of 3D shape from a pair of images, it is now generally recognized that using more than two images can dramatically improve the quality of the reconstruction. Unfortunately, as more images are added, the prevalence of semi-occluded regions (pixels visible in some but not all images) also ...
Sing Bing Kang +2 more
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Deformable convolutions in multi-view stereo
Image and Vision Computing, 2022Juliano Emir Nunes Masson +3 more
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Multi-View Stereo Point Clouds Visualization
20113D reconstruction from image sequences using multiview stereo (MVS) algorithms is an important research area in computer vision and has multitude of applications. Due to its image-feature-based analysis, 3D point clouds derived from such algorithms are irregularly distributed and can be sparse at plain surface areas. Noise and outliers also degrade the
Yi Gong, Yuan-Fang Wang
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Multi-View Stereo in the Deep Learning Era: A Comprehensive Review
Displays, 2021Xiao Bai, Chen Wang, Jin Zheng
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