論文 - 中澤　篤志

Parallel alignment of a large number of range images 査読

T Oishi, R Sagawa, A Nakazawa, R Kurazume, K Ikeuchi

FOURTH INTERNATIONAL CONFERENCE ON 3-D DIGITAL IMAGING AND MODELING, PROCEEDINGS   2003-January   195 - 202   2003年

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：IEEE COMPUTER SOC  

This paper describes a method for parallel alignment of multiple range images. It is difficult to align a large number of range images simultaneously. Therefore, we developed the parallel method to improve the time and memory performances of the alignment process. Although a general simultaneous alignment algorithm searches correspondences for all pairs of all range images by rejecting redundant dependencies, our method makes it possible to accelerate computation time and reduce the amount of memory used Since the computation between two range images can be preformed independently, each correspondence pair of range images is assigned to each node. Because the computation time is proportional to the number of vertices assigned to each node, by assigning the pairs so that the number of vertices computed is equal on each node, the load on each node is effectively distributed. The heuristic algorithms for graph partitioning are applied to this problem in order to reduce the amount of memory used on each node. The method was tested on a 16 processor PC cluster, where it demonstrated the high extendibility and the performance improvement in time and memory.

DOI： 10.1109/IM.2003.1240250

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Analysis and synthesis of human dance motions 査読

A Nakazawa, S Nakaoka, T Shiratori, K Ikeuchi

PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS   83 - 88   2003年

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：IEEE  

This paper presents the method for synthesizing stylistic human motions through visual observation. The human motion data is acquired from a motioncapture system. The whole motion sequence is divided into some motion elements and clusterd into some groups according to the correlation of end-effectors' trajectories. We call these segments as 'motion primitives'. Concatenating these motion primitives, we can generates new dance motions. We also think of a motion primitive consists of a basic motion and a motion style. The basic motion is common to all dancers, and the style represents their characteristics. We extracted these two components through the further analysis steps. The experiment results shows the validity of our approach.

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Synthesize stylistic human motion from examples 査読

A Nakazawa, S Nakaoka, K Ikeuchi

2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS   3899 - 3904   2003年

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：IEEE  

The human body motion synthesis is highly necessary for humanoid robots' motion planning and computer animations. In this paper, new method for generating human-like natural motions based on the motion database acquired by motion capture systems is described. On the analysis step, the acquired motions are divided into some motion segments, and then the characteristic poses and motions are archived as 'motion styles'. The motion style is a kind of the human skill, and it's unique to the motions' scenario, such as the different kinds of dances. On the synthesis step, users direct the key poses of human figures. The system generates the characteristic motions according to the user's directions and motion style database. The experiment result shows that this method can synthesize the realistic 'stylized' motions with this framework.

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The Great Buddha Project: Modeling Cultural Heritage for VR Systems through Observation.

Katsushi Ikeuchi, Atsushi Nakazawa, Kazuhide Hasegawa, Takeshi Oishi

2003 IEEE / ACM International Symposium on Mixed and Augmented Reality (ISMAR 2003)(ISMAR)   7   2003年

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掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：IEEE Computer Society  

DOI： 10.1109/ISMAR.2003.1240683

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その他リンク： https://dblp.uni-trier.de/db/conf/ismar/ismar2003.html#IkeuchiNHO03

Iterative Refinement of Range Images with Anisotropic Error Distribution 査読

Ryusuke Sagawa, Takeshi Oishi, Atsushi Nakazawa, Ryo Kurazume, Katsushi Ikeuchi

IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30 - October 4, 2002   1   79 - 85   2002年

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掲載種別：研究論文（国際会議プロシーディングス）   出版者・発行元：IEEE  

We propose a method which refines the range measurement of range finders by computing correspondences of vertices of multiple range images acquired from various viewpoints. Our method assumes that a range image acquired by a laser range finder has anisotropic error distribution which is parallel to the ray direction. Thus, we find corresponding points of range images along with the ray direction. We iteratively converge range images to minimize the distance of corresponding points. We demonstrate the effectiveness of our method by presenting the experimental results of artificial and real range data. Also we show that our method refines a 3D shape more accurately as opposed to that achieved by using the Gaussian filter.

DOI： 10.1007/978-0-387-75807_11

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その他リンク： http://dblp.uni-trier.de/db/conf/iros/iros2002.html#conf/iros/SagawaONKI02