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Anil Usumezbas

dblp:122/8710 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
3D vision · 100%
Computer graphics and multimedia
1 paper
Geometric modeling and processing · 50% Computational photography and imaging · 50%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
3d reconstruction
0.312017
The Surfacing of Multiview 3D Drawings via Lofting and Occlusion Reasoning · CVPR 2017
Computer vision › 3D vision › 3d reconstruction
multi-view reconstruction
0.312017
The Surfacing of Multiview 3D Drawings via Lofting and Occlusion Reasoning · CVPR 2017
Geometric modeling and processing
3d reconstruction
0.212016
From Multiview Image Curves to 3D Drawings · ECCV (4) 2016
Computational photography and imaging › image-based modeling
3d reconstruction from images
0.212016
From Multiview Image Curves to 3D Drawings · ECCV (4) 2016
Computer vision › 3D vision › 3d scene understanding
occlusion reasoning
0.112017
The Surfacing of Multiview 3D Drawings via Lofting and Occlusion Reasoning · CVPR 2017
Computer vision › 3D vision
multi-view geometry
0.112016
From Multiview Image Curves to 3D Drawings · ECCV (4) 2016

Methods — techniques the papers use, named apart from their topics

curve-based reconstruction · 0.5lofting algorithm · 0.3
YearPublicationVenuePosition
2017 The Surfacing of Multiview 3D Drawings via Lofting and Occlusion Reasoning
abstract
The three-dimensional reconstruction of scenes from multiple views has made impressive strides in recent years, chiefly by methods correlating isolated feature points, intensities, or curvilinear structure. In the general setting, i.e., without requiring controlled acquisition, limited number of objects, abundant patterns on objects, or object curves to follow particular models, the majority of these methods produce unorganized point clouds, meshes, or voxel representations of the reconstructed scene, with some exceptions producing 3D drawings as networks of curves. Many applications, e.g., robotics, urban planning, industrial design, and hard surface modeling, however, require structured representations which make explicit 3D curves, surfaces, and their spatial relationships. Reconstructing surface representations can now be constrained by the 3D drawing acting like a scaffold to hang on the computed representations, leading to increased robustness and quality of reconstruction. This paper presents one way of completing such 3D drawings with surface reconstructions, by exploring occlusion reasoning through lofting algorithms.
Anil Usumezbas, Ricardo Fabbri, Benjamin B. Kimia
CVPR1
2016 From Multiview Image Curves to 3D Drawings
Anil Usumezbas, Ricardo Fabbri, Benjamin B. Kimia
ECCV (4)1