Stereoscopic Segmentation

By Anthony J. Yezzi Jr., Stefano Soatto. 2003

170 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition

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In Biomedical Engineering

In Computer Vision and Pattern Recognition

Citations in the corpus

Occupancy Networks: Learning 3D Reconstruction in Function Space (2018, background): “This idea is related to classical level set [10, 14, 50] approaches to multi-view 3D reconstruction [18,24,32,40,53,78].”
Robust Variational Segmentation of 3D Objects from Multiple Views (2006, methodology): “3 demonstrates the ability of the proposed method to reconstruct complex topologies starting with an arbitrary initialization as opposed to stereoscopic segmentation, which requires an approximation of the real topology, as stated in [21].”
Minimizing the Reprojection Error in Surface Reconstruction from Images (2007, methodology): “Stereoscopic segmentation [25] use the concept of oriented visibility [ 11] to include the visibility in a weighted area functional.”
Photometric Bundle Adjustment for Dense Multi-view 3D Modeling (2014, methodology): “Denoting the part in brackets by fΩ, this gives, by a simple change of variables [19, 24]:”
A Nonrigid Kernel-Based Framework for 2D-3D Pose Estimation and 2D Image Segmentation (2011, unknown): “The methodology is motivated by similar approaches that were originally constructed for stereo reconstruction from multiple cameras [49], [50] and further extended for camera calibration [48].”
Methods for Volumetric Reconstruction of Visual Scenes (2004, background): “, scenes composed of geometric primitives such as planes [15, 21], lines, or curves, scenes exhibiting or lacking texture [54], etc.”
A Globally Optimal Algorithm for Robust TV-L1 Range Image Integration (2007, methodology): “There exist several approaches for model reconstruction directly from multiple views based on a photoconsistency criterion [27, 34, 31, 29, 28, 16].”
Continuous Global Optimization in Multiview 3D Reconstruction (2007, methodology): “These methods are able to reconstruct a smooth version of the visual hull from the raw input images without the immediate need for manually outlined silhouettes [24,28].”
Shedding light on stereoscopic segmentation (2004, methodology): “Figure 3: Final shape estimated using [24].”
Minimizing the Multi-view Stereo Reprojection Error for Triangular Surface Meshes (2008, methodology): “In contrast, the computation of the gradient of Etotal with respect to S (more exactly of Edata since ERB and ERF do not depend on S; ERS is classical [2, 20]) is difficult and requires some work.”
Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation (2005, background): “Level set based contour representations (Osher and Sethian, 1988) have become a popular framework in image segmentation (cf. Malladi et al., 1995; Caselles et al., 1995; Kichenassamy et al., 1995; Caselles and Coll, 1996; Paragios and Deriche, 2000; Chan and Vese, 2001; Yezzi and Soatto, 2003).”