Journal ArticleDOI
Joint estimation of segmentation and structure from motion
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TLDR
A novel optimisation framework for the estimation of the multi-body motion segmentation and 3D reconstruction of a set of point trajectories in the presence of missing data that solves for the 3D location of multi- body shape and it fills the missing entries in the measurement matrix.About:
This article is published in Computer Vision and Image Understanding.The article was published on 2013-02-01. It has received 29 citations till now. The article focuses on the topics: Motion estimation & Motion field.read more
Citations
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Journal ArticleDOI
Visual SLAM and Structure from Motion in Dynamic Environments: A Survey
TL;DR: This article presents for the first time a survey of visual SLAM and SfM techniques that are targeted toward operation in dynamic environments and identifies three main problems: how to perform reconstruction, how to segment and track dynamic objects, and how to achieve joint motion segmentation and reconstruction.
Journal ArticleDOI
Multi-body Motion Estimation from Monocular Vehicle-Mounted Cameras
Reza Sabzevari,Davide Scaramuzza +1 more
TL;DR: This paper presents a theoretical framework for robust estimation of multiple relative motions in addition to the camera ego motion, based on projective factorization of the multiple-trajectory matrix and is robust to noisy image measurements.
Proceedings ArticleDOI
DUST: Dual Union of Spatio-Temporal Subspaces for Monocular Multiple Object 3D Reconstruction
TL;DR: An approach to reconstruct the 3D shape of multiple deforming objects from incomplete 2D trajectories acquired by a single camera is presented, which achieves state-of-the-art 3D reconstruction results, while it also provides spatial and temporal segmentation.
Posted Content
A Benchmark and Evaluation of Non-Rigid Structure from Motion
TL;DR: A benchmark and a scrupulous evaluation using this data set, which evaluates 18 different methods with available code that reasonably spans the state of the art in sparse nrsfm, will provide benchmark tools for further development in this challenging field.
Journal ArticleDOI
Robust Spatio-Temporal Clustering and Reconstruction of Multiple Deformable Bodies
TL;DR: The approach achieves state-of-the-art 3D reconstruction results, while it also provides spatial and temporal segmentation, and thoroughly validate the method on challenging scenarios with several human subjects performing different activities which involve complex motions and close interaction.
References
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Journal ArticleDOI
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
TL;DR: New results are derived on the minimum number of landmarks needed to obtain a solution, and algorithms are presented for computing these minimum-landmark solutions in closed form that provide the basis for an automatic system that can solve the Location Determination Problem under difficult viewing.
Journal ArticleDOI
Atomic Decomposition by Basis Pursuit
TL;DR: Basis Pursuit (BP) is a principle for decomposing a signal into an "optimal" superposition of dictionary elements, where optimal means having the smallest l1 norm of coefficients among all such decompositions.
Journal ArticleDOI
Shape and motion from image streams under orthography: a factorization method
Carlo Tomasi,Takeo Kanade +1 more
TL;DR: In this paper, the singular value decomposition (SVDC) technique is used to factor the measurement matrix into two matrices which represent object shape and camera rotation respectively, and two of the three translation components are computed in a preprocessing stage.
Journal ArticleDOI
Random Walks for Image Segmentation
TL;DR: A novel method is proposed for performing multilabel, interactive image segmentation using combinatorial analogues of standard operators and principles from continuous potential theory, allowing it to be applied in arbitrary dimension on arbitrary graphs.