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Technical Committee on Pattern Recognition and Media Understanding (PRMU)  (Searched in: 2009)

Search Results: Keywords 'from:2009-11-26 to:2009-11-26'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 20 of 40  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2009-11-26
09:00
Ishikawa Ishikawa Industrial Promotion Center An adaptive color SIFT descriptor based on independent component analysis for image classification
Danni Ai, Xianhua Han (Ritumeikan Univ.), Xiang Ruan (OMRON), Yen-Wei Chen (Ritumeikan Univ.) PRMU2009-94
In this paper, we present a novel color independent components based SIFT descriptor (termed CIC-SIFT) for object/scene ... [more] PRMU2009-94
pp.1-6
PRMU 2009-11-26
09:30
Ishikawa Ishikawa Industrial Promotion Center Selection of SIFT Feature Points for Scene Description in Robot Vision
Yuya Utsumi, Hirokazu Madokoro, Kazuhito Sato (Akita Pref. Univ.) PRMU2009-95
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One C... [more] PRMU2009-95
pp.7-12
PRMU 2009-11-26
09:00
Ishikawa Ishikawa Industrial Promotion Center Classification of snow particles using image processing
Kazuki Seto, Karolina Nurzynska, Mamoru Kubo, Ken-ichiro Muramoto (Kanazawa Univ.), Toru Shiina (Toyama Natl. Coll. of Tech.) PRMU2009-96
Classification of snow particles is important in the investigation of the growth process of snow particles. It is also i... [more] PRMU2009-96
pp.21-26
PRMU 2009-11-26
09:30
Ishikawa Ishikawa Industrial Promotion Center Analysis support system for Z-R relation and image processing of snow particles
Akiyoshi Sougen, Mamoru Kubo, Ken-ichiro Muramoto (Kanazawa Univ.), Toru Shiina (Toyama Natl. Coll. of Tech.), Yasushi Fujiyoshi (Hokkaido Univ.) PRMU2009-97
To estimate precipitation rate $R$ from measurements of radar reflectivity factor $Z$, $Z-R$ relationships are used. The... [more] PRMU2009-97
pp.27-32
PRMU 2009-11-26
10:00
Ishikawa Ishikawa Industrial Promotion Center Visualization of precipitation particles in the lower atmosphere using lidars and radars
Kenji Nakamura, Mamoru Kubo, Ken-ichiro Muramoto (Kanazawa Univ.), Toru Shiina (Toyama Natl. Coll. of Tech.), Tadayasu Ohigashi, Taro Shinoda (Nagoya Univ.) PRMU2009-98
It has been shown that clouds are very complex in both the horizontal and vertical directions. Examination of the behavi... [more] PRMU2009-98
pp.33-38
PRMU 2009-11-26
10:40
Ishikawa Ishikawa Industrial Promotion Center Labeling method using co-occurance model between visual word and word
Yuichi Yoshida, Mitsuru Ambai (DENSO IT LAB.) PRMU2009-99
In this paper, we propose a novel labeling method that uses image and text obtained from the web as a training set.Exist... [more] PRMU2009-99
pp.39-44
PRMU 2009-11-26
11:10
Ishikawa Ishikawa Industrial Promotion Center Semantics-Based Search from Global Features of Web Images and Texts -- Toward a novel approach to realization of generic image recognition on the Web --
Yoshitaka Ushiku, Hideki Nakayama (Tokyo Univ.), Tatsuya Harada (Tokyo Univ./JST), Yasuo Kuniyoshi (Tokyo Univ.) PRMU2009-100
In these days, methods for generic image recognition are actively researched. Many works use web images as training data... [more] PRMU2009-100
pp.45-50
PRMU 2009-11-26
11:40
Ishikawa Ishikawa Industrial Promotion Center Inquest of VisualRank for Geotagged Images
Hidetoshi Kawakubo, Keiji Yanai (UEC) PRMU2009-101
 [more] PRMU2009-101
pp.51-56
PRMU 2009-11-26
10:40
Ishikawa Ishikawa Industrial Promotion Center Removal of Moving Objects from In-vehicle Camera Image Sequence by Fusing Multiple Image Sequences
Hiroyuki Uchiyama, Daisuke Deguchi (Nagoya Univ.), Tomokazu Takahashi (Gifu Shotoku Gakuen Univ.), Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2009-102
Applications of street images for driver assistance systems have been studied and services which exhibit street-view ima... [more] PRMU2009-102
pp.57-62
PRMU 2009-11-26
11:10
Ishikawa Ishikawa Industrial Promotion Center Fractal analysis of tree-drawing test
Toru Fujiwara, Takuya Kura, Shuhei Miyata, Masahiko Shinno (Shinshinkai Medical Group) PRMU2009-103
In this paper, we present the relationship between the characteristic quantities of tree-drawing test and the depression... [more] PRMU2009-103
pp.63-66
PRMU 2009-11-26
15:20
Ishikawa Ishikawa Industrial Promotion Center [Tutorial Lecture] Specific Object Recognition
Koichi Kise (Osaka Pref. Univ.) PRMU2009-104
Specific object recognition is a process to recognize instances
of objects captured as images. In other words, it indic... [more]
PRMU2009-104
pp.79-87
PRMU 2009-11-26
16:10
Ishikawa Ishikawa Industrial Promotion Center [Tutorial Lecture] Generic Object Recognition
Keiji Yanai (The Univ. of Electro-Commu.) PRMU2009-105
 [more] PRMU2009-105
pp.89-96
PRMU 2009-11-27
09:00
Ishikawa Ishikawa Industrial Promotion Center High-level Feature Extraction from Video Using SIFT GMM and Acoustic Features
Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, Sadaoki Furui (Tokyo Inst. of Tech) PRMU2009-106
We propose a statistical framework for high-level feature (HLF) extraction, which employs SIFT Gaussian Mixture Models (... [more] PRMU2009-106
pp.97-102
PRMU 2009-11-27
09:30
Ishikawa Ishikawa Industrial Promotion Center Multi-class Object Recognition by fusion of image descriptors
Xian-Hua Han, Yen-Wei Chen (Ritsumeikan Univ.), Xiang Ruan (Omron) PRMU2009-107
Category recognition is important to access visual information on the level of objects. Over the past several years, sub... [more] PRMU2009-107
pp.103-108
PRMU 2009-11-27
10:00
Ishikawa Ishikawa Industrial Promotion Center Multiple Weighted Region Features for Fast Object Recognition
Tatsuya Harada (The Univ. of Tokyo/JST), Yasuo Kuniyoshi (The Univ. of Tokyo) PRMU2009-108
 [more] PRMU2009-108
pp.109-114
PRMU 2009-11-27
09:00
Ishikawa Ishikawa Industrial Promotion Center Experimental Investigation of the Performance of a Specific Object Recognition Method with the Bloomier Filter
Katsufumi Inoue, Koichi Kise (Osaka Pref Univ) PRMU2009-109
Specific object recognition based on local feature vectors requires a huge amount of memory to store all feature vectors... [more] PRMU2009-109
pp.115-120
PRMU 2009-11-27
09:30
Ishikawa Ishikawa Industrial Promotion Center Approximate Nearest Neighbor Search Based on a Multi-Valued Expression of Closeness
Masashi Tada, Tomoyuki Muto, Masakazu Iwamura, Koichi Kise (Osaka Pref. Univ.) PRMU2009-110
Approximate nearest neighbor search is a technique which greatly
reduces processing time and required amount of memory
... [more]
PRMU2009-110
pp.121-126
PRMU 2009-11-27
10:00
Ishikawa Ishikawa Industrial Promotion Center A study on image based estimation of position and direction in urban environments using SIFT algorithm
Satoshi Ueno, Masayuki Hashimoto, Akio Yoneyama, Ryoichi Kawada (KDDI R&D Labs.) PRMU2009-111
In this paper, we propose a support system for navigation to improve estimation of users’ position and direction by imag... [more] PRMU2009-111
pp.127-132
PRMU 2009-11-27
09:00
Ishikawa Ishikawa Industrial Promotion Center Surface Reconstruction Method from Noisy Scattered Point Data Using Deformed Grids
Keisuke Fujimoto (UEC), Toshio Moriya (Hitachi), Yasuichi Nakayama (UEC) PRMU2009-112
 [more] PRMU2009-112
pp.133-138
PRMU 2009-11-27
09:30
Ishikawa Ishikawa Industrial Promotion Center Matrix factorization approaches to Projective reconstruction (2) -- Performance comparison: CBC method vs. factorization based on the subspace constraints --
Eijiro Shibusawa, Wataru Mitsuhashi (Univ. of Electro-Comm.) PRMU2009-113
In this paper we perform a comparative study of two projective
reconstruction algorithms:
the CBC method proposed in... [more]
PRMU2009-113
pp.139-144
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