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Mawo Kamakura

dblp:74/2283 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 since 2021

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.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Computational social science and digital humanities · 100%
Computer graphics and multimedia
2 papers
Rendering · 89% Geometric modeling and processing · 11%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational social science and digital humanities › cultural heritage
digital archaeology
0.612022
Kyushu Decorative Tumuli Project: From e-Heritage to Cyber-Archaeology · Int. J. Comput. Vis. 2022
Rendering › inverse rendering
photometric reconstruction
0.212022
Kyushu Decorative Tumuli Project: From e-Heritage to Cyber-Archaeology · Int. J. Comput. Vis. 2022

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

physics-based simulation · 1.1photometric stereo · 1.1shape analysis · 0.13d scanning · 0.1
YearPublicationVenuePosition
2022 Kyushu Decorative Tumuli Project: From e-Heritage to Cyber-Archaeology
abstract
Abstract Digitization of cultural assets has become an important sub-area of computer vision (CV). Thus far, the value of digitization has been emphasized in terms of asset preservation and exhibition. The third aspect of digitization value is that the obtained digital data can be used to perform archaeological analysis based on physics and optics theories and simulations. This position paper emphasizes the importance of this third aspect, using our Kyushu decorative tumuli project as an illustrative example. In particular, we focus on the photometric approaches in the third aspect and explain the equipment and methods developed there as well as archaeological findings. This paper, then, proposes to establish this area as “cyber-archaeology” through categorizing and organizing those methodologies.
Katsushi Ikeuchi, Tetsuro Morimoto, Mawo Kamakura, Nobuaki Kuchitsu, Kazutaka Kawano, Tomoo Ikeda
Int. J. Comput. Vis.3
2007 The Great Buddha Project: Digitally Archiving, Restoring, and Analyzing Cultural Heritage Objects
Katsushi Ikeuchi, Takeshi Oishi, Jun Takamatsu, Ryusuke Sagawa, Atsushi Nakazawa, Ryo Kurazume, Ko Nishino, Mawo Kamakura, Yasuhide Okamoto
Int. J. Comput. Vis.8