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Raphael Charit

dblp:201/1661 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1988
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 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
1 paper
Segmentation and scene understanding · 50% 3D vision · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision › 3d shape reconstruction › shape from x
shape from shadow
0.011988
Complex shadow-boundary segmentation using the entry-exit method · CVPR 1988

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

labeling scheme · 0.0entry-exit method · 0.0
YearPublicationVenuePosition
1988 Complex shadow-boundary segmentation using the entry-exit method
abstract
Shadows provide information that allows inferences to be made about the three-dimensional nature of objects. Essential to those inferences is the ability to identify segments of the shadow boundary that correspond to various portions of the object that has cast the shadow. Entry-exit vertices, that are extremes of the boundary, and tangent to the projection of the light beams, can be identified as junctions of specific segments of the shadow boundary. The authors restrict the analysis to smooth convex bodies, and prove that points of discontinuity of the derivative on the shadow boundary form another set of vertices. These two types of junctions are discussed extensively, and combined into a labeling scheme that can segment the boundary into logically consistent pieces. The authors discuss the possible ambiguities that may arise during the labeling process due to occlusion of one object by another, and show that there is no ambiguity in the cases of occlusion of shadows and of shadows that fall on other objects.>
Raphael Charit, Murray H. Loew
CVPR1