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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, MVE, CQ, IPSJ-CVIM [detail] | 2012-01-19 11:10 |
Osaka | Local Feature Transform with RCA and Application to general object recognition for life support Tomoki Nishimura, Haiyuan Wu, Hirokazu Taki, Hirokazu Miura (Wakayama Univ.)  PRMU2011-154 MVE2011-63 |
In this paper, we propose a method for transforming local feature using relevant component analysis (RCA). Our method an... [more] | PRMU2011-154 MVE2011-63 pp.79-84 |
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| PRMU, FM | 2011-12-15 11:00 |
Shizuoka | Hamamatsu Campus, Shizuoka Univ. | Generic Object Recognition by Graph Structural Expression Takahiro Hori, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) PRMU2011-127 |
This paper describes a method for generic object recognition using graph structural expression. In recent years, generic... [more] | PRMU2011-127 pp.19-24 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2011-09-06 15:20 |
Hokkaido | Object Detection in Images Using Feature of Invariant based on Histogram of Hue Koji Tanaka, Yoshinobu Hagiwara, Hiroki Imamura (Soka Univ.) PRMU2011-81 IBISML2011-40 |
Traditionally, there is a technology that detects objects with SIFT (Scale-Invariant Feature Transform) that obtained fe... [more] | PRMU2011-81 IBISML2011-40 pp.187-194 |
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| PRMU, MI, IE | 2011-05-19 11:00 |
Aichi | A System for Colorectal Endoscopic Images based on NBI Magnification Findings Junki Yoshimuta, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoshito Takemura, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) IE2011-11 PRMU2011-3 MI2011-3 |
Our research objective is to classify magnified endoscopic images of colorectal tumours into 3 types (Type A, B, and C3)... [more] | IE2011-11 PRMU2011-3 MI2011-3 pp.13-18 |
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| PRMU | 2011-03-10 11:10 |
Ibaraki | Detecting partial duplications with affine transformation in an image Kei Tomizawa, Tetsuya Matsumoto, Hiroaki Kudo, Yoshinori Takeuchi, Noboru Ohnishi (Nagoya Univ.) PRMU2010-249 |
This paper proposes a method to detect partial duplications in an image. We treat a complex duplication accompanied with... [more] | PRMU2010-249 pp.73-78 |
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| PRMU | 2011-03-11 11:10 |
Ibaraki | Recognition of Characters in Scenes by Using Geometric Contexts of Local Features Takuya Kobayashi, Masakazu Iwamura, Koichi Kise (Osaka Prefecture Univ.) PRMU2010-275 |
If you can get useful information from a character image in scene you take with your camera, all you have to do is rele... [more] |
PRMU2010-275 pp.223-228 |
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| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2011-02-21 16:25 |
Hokkaido | Hokkaido University | A note on accurate scene segmentation based on the MCMC method using object matching Yan Song, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) ITS2010-46 IE2010-121 |
This paper proposes an accurate scene segmentation method based on the Markov Chain Monte Carlo (MCMC) algorithm using o... [more] | ITS2010-46 IE2010-121 pp.131-135 |
| PRMU | 2011-02-17 15:30 |
Saitama | Video Similarity Measuring using SIFT Trajectories without Pre-learning Process Hiroaki Kubo, Hideo Saito (Keio Univ.), Shin'ichi Satoh (NII) PRMU2010-215 |
Video similarity is a basic technique of scene/object recognition. To extract discriminative features from videos, rece... [more] |
PRMU2010-215 pp.43-48 |
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| IE, ITE-AIT, ITE-BCT, ITE-ME [detail] | 2010-11-11 15:55 |
Kagoshima | Improving the Performance of SIFT Using Bilateral Filter
-- Fast Implementation with GPU -- Tomoaki Yamazaki, Jiro Katto (Waseda Univ.) IE2010-87 |
SIFT is known as local features that has robustness against rotation, scale and illumination changes of the images. Howe... [more] | IE2010-87 pp.19-24 |
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| IBISML, PRMU, IPSJ-CVIM [detail] | 2010-09-05 09:30 |
Fukuoka | Fukuoka Univ. | Multiple Kernel Learning for Generic Object Recognition Using SIFT Gaussian Mixture Models Nakamasa Inoue, Yusuke Kamishima, Koichi Shinoda, Sadaoki Furui (Tokyo Tech) PRMU2010-58 IBISML2010-30 |
We propose a statistical framework for generic object recognition using SIFT Gaussian mixture models (GMMs) and multiple... [more] | PRMU2010-58 IBISML2010-30 pp.7-12 |
| IBISML, PRMU, IPSJ-CVIM [detail] | 2010-09-05 17:00 |
Fukuoka | Fukuoka Univ. | Colorectal NBI Image Recognition using Dense SIFT Junki Yoshimuta, Takahishi Takeda, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoshito Takemura, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) PRMU2010-73 IBISML2010-45 |
In this paper we propose a recognition system for classifying NBI images of colorectal tumors into three types (A, B, an... [more] | PRMU2010-73 IBISML2010-45 pp.129-134 |
| MI | 2010-09-03 12:50 |
Saitama | [Poster Presentation]
Study on anatomical landmark detection from CT images via three-dimensional SIFT Mitsutaka Nemoto, Yukihiro Nomura, Yoshitaka Masutani, Shouhei Hanaoka, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo (Univ Tokyo) MI2010-59 |
Detection of anatomical landmarks on 3D medical images is an our recent research topic. The anatomical landmarks, which... [more] | MI2010-59 pp.49-54 |
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| PRMU, IE, MI | 2010-05-13 17:15 |
Aichi | Chubu Univ. | Visual Localization for First-person Vision System Shuntaro Yamazaki, Masaaki Mochimaru, Takeo Kanade (AIST) IE2010-27 PRMU2010-15 MI2010-15 |
We describe a method of image-based localization suitable for the First-Persion Vision system composed of a single head... [more] | IE2010-27 PRMU2010-15 MI2010-15 pp.73-78 |
| HIP, HCS | 2010-05-14 15:20 |
Okinawa | Okinawa Industry Support Center | Generic Object Recognition with multiple Local features for Information Presentation system Satoru Odo (Okinawa Univ.) HCS2010-22 HIP2010-22 |
This is to propose the information display system aimed at applications to the welfare field such as memory compensation... [more] | HCS2010-22 HIP2010-22 pp.121-123 |
| IE | 2010-03-15 13:00 |
Miyagi | RIEC Bldg. #2, 4gh Floor, Tohoku Univ. | Improving the Performance of SIFT Using Bilateral Filter Tomoaki Yamazaki, Jiro Katto (Waseda Univ.) IE2009-184 |
One of the typical methods to extract the features of images is SIFT. SIFT has advantages of robustness in rotation, sca... [more] | IE2009-184 pp.29-34 |
| ITS, WBS (Joint) |
2009-12-08 13:25 |
Kumamoto | Kumamoto University | Traffic Sign Recognition Using Affine Scale-invariant Feature Transform Xin Li (Kumamoto Univ./Gui Lin Univ. of Tech), Keiichi Uchimura, Zhencheng Hu (Kumamoto Univ.) ITS2009-22 |
This paper introduces a traffic sign recognition method using a new type of local image features. The Affine SIFT (Scale... [more] | ITS2009-22 pp.29-33 |
| 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 | 2009-11-27 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 13:00 |
Ishikawa | Ishikawa Industrial Promotion Center | SIFT Feature of Three-dimensional Images and it Application Yasuo Watanabe, Syogo Nakamura (Kanazawa Inst. of Tech.) PRMU2009-122 |
In this paper, we propose a method for mosaicing 3-D(three-dimensional) images, which are obtained by an X-ray CT or MRI... [more] | PRMU2009-122 pp.201-206 |
| PRMU | 2009-10-22 10:00 |
Hiroshima | Hiroshima Univ. | Content-Based Image Retrieval using SIFT based on Illumination Invariant Features Masaki Kobayashi, Keisuke Kameyama (Univ. of Tsukuba) PRMU2009-71 |
Recently, there has been an increasing need for Content-Based Image Retrieval (CBIR), especially the partial image retri... [more] | PRMU2009-71 pp.1-6 |
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