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Kazunori Kato

dblp:34/855 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · unresolved

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

Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 1

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
3D vision · 100%
Theoretical computer science
1 paper
Information theory · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
3d reconstruction
0.012001
3-D Interpretation of Single Line Drawings Based on Entropy Minimization Principle · CVPR (2) 2001
Computer vision › 3D vision › 3d shape reconstruction › shape from x › shape from contour
line drawing interpretation
0.012001
3-D Interpretation of Single Line Drawings Based on Entropy Minimization Principle · CVPR (2) 2001
Information theory › information measures › entropy
entropy minimization
0.012001
3-D Interpretation of Single Line Drawings Based on Entropy Minimization Principle · CVPR (2) 2001

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

genetic algorithm · 0.1entropy minimization · 0.1
YearPublicationVenuePosition
2001 3-D Interpretation of Single Line Drawings Based on Entropy Minimization Principle
abstract
The human visual system can interpret two-dimensional (2-D) line drawings like the Necker cube as three-dimensional (3-D) wire frames. On this human ability Thomas Marill presented two important papers. First one proposed the 3-D interpretation model based on the principle to minimize the standard deviation of the angles between line segments in 3-D wire frame (MSDA), and reported the results of simulation experiments. Second one proposed the principle to minimize the description length on the internal representation in visual system. Motivated by Marill's principle to minimize the description length, we propose a principle to minimize the entropy of angle distribution between line segments in a 3-D wire frame (MEAD), which is more general than the MSDA one. And we implement the principle MEAD using a genetic algorithm (GA) as a simulation program. The results of simulation experiments show that the proposed principle of MEAD is more appropriate than the MSDA and another principle.
Kenji Shoji, Kazunori Kato, Fubito Toyama
CVPR (2)2
2000 Extracting facial features as in infants
Takashi Hamada, Kazunori Kato, Kowichiro Kawakami
Pattern Recognit. Lett.2