Asako Kanezaki

    Biography

    2008 BS of Engineering (The University of Tokyo)
    2010 MA of Information Science & Technology (The University of Tokyo)
    2010 Visiting Researcher at Intelligent Autonomous Systems Group, TUM

    Research

    3D World Recognition
    • 3D Object Recognition and Detection
    • 3D Shape and Color Descriptors
    • Semantic Mapping of Real Environment

    Journal publications

    1. Asako Kanezaki, Tatsuya Harada & Yasuo Kuniyoshi.
      Partial Matching of Real Textured 3D Objects Using Color Cubic Higher-order Local Auto-Correlation Features.
      The Visual Computer, Vol.26, No.10, pp.1269--1281, 2010.
      PDF

    2. Tatsuya Harada, Asako Kanezaki & Yasuo Kuniyoshi.
      The Development of Color CHLAC Features for Object Exploration in 3D Map.
      Journal of the Robotics Society of Japan, Vol.27, No.7, pp.749--758, 2009. (in Japanese)
      PDF

    International Conference

    1. Asako Kanezaki, Tatsuya Harada & Yasuo Kuniyoshi.
      Scale and Rotation Invariant Color Features for Weakly-Supervised Object Learning in 3D Space.
      IEEE ICCV Workshop on 3D Representation and Recognition (3dRR-11), 2011.
      PDF

    2. Asako Kanezaki, Zoltan-Csaba Marton, Dejan Pangercic, Tatsuya Harada, Yasuo Kuniyoshi & Michael Beetz.
      Voxelized Shape and Color Histograms for RGB-D.
      IEEE IROS Workshop on Active Semantic Perception and Object Search in the Real World (ASP-AVS-11), 2011.

    3. Asako Kanezaki, Takahiro Suzuki, Tatsuya Harada & Yasuo Kuniyoshi.
      Fast Object Detection for Robots in a Cluttered Indoor Environment Using Integral 3D Feature Table.
      IEEE International Conference on Robotics and Automation (ICRA2011), pp.4026--4033, 2011.
      PDF

    4. Asako Kanezaki, Hideki Nakayama, Tatsuya Harada & Yasuo Kuniyoshi.
      High-speed 3D Object Recognition Using Additive Features in A linear Subspace.
      2010 IEEE International Conference on Robotics and Automation (ICRA2010), pp.3128--3134, 2010.
      2010 IEEE Robotics and Automation Society Japan Chapter Young Award (ICRA 2010)
      PDF

    5. Asako Kanezaki, Tatsuya Harada & Yasuo Kuniyoshi.
      Partial Matching for Real Textured 3D Objects using Color Cubic Higher-order Local Auto-Correlation Features.
      Eurographics Workshop on 3D Object Retrieval 2009, pp.9--12, 2009.

    Domestic Conference (in Japanese)

    1. 金崎 朝子, 稲葉 翔, 牛久 祥孝, 山下 裕也, 村岡 宏是, 原田 達也 & 國吉 康夫.
      大規模画像データセットを用いたマルチクラス物体検出器の同時学習 〜物体毎に特化した負例クラスの導入〜
      Pattern Recognition and Media Understanding (PRMU), pp.105--112, 2012.

    2. 金崎 朝子, 原田 達也 & 國吉 康夫.
      多種類の三次元特徴量を用いた物体セグメンテーションの弱教師付き学習
      Meeting on Image Recognition and Understandings (MIRU), OS14-03, 2012.

    3. 稲葉 翔, 村岡 宏是, 山下 裕也, 牛久 祥孝, 金崎 朝子, 原田 達也 & 國吉 康夫.
      学習時間に着目した効率的な大規模画像分類
      Meeting on Image Recognition and Understandings (MIRU), OS6-03, 2012.

    4. 金崎 朝子, 原田 達也 & 國吉 康夫.
      カラー三次元積分特徴と線形部分空間法による実世界からの高速物体検出
      Meeting on Image Recognition and Understandings (MIRU), IS1-59, pp.448--455, 2010.

    5. 金崎 朝子, 原田 達也 & 國吉 康夫.
      積分特徴と部分空間法を用いた高速三次元物体認識の実データへの適用
      Pattern Recognition and Media Understanding (PRMU), pp.207--212, 2009.

    6. 金崎 朝子, 中山 英樹, 原田 達也 & 國吉 康夫.
      部分空間法とカラー立体高次局所自己相関特徴を用いた高速三次元物体認識
      Meeting on Image Recognition and Understandings (MIRU), OS4-3:103-OS4-3:110, 2009.

    7. 金崎 朝子, 原田 達也 & 國吉 康夫.
      三次元環境地図からの物体探索タスク応用を目指したカラー立体高次局所自己相関特徴の開発
      the 26th Annual Conference of the Robotics Society of Japan (RSJ), 1L3-06, 2008.

    Awards

    • 2010 IEEE Robotics and Automation Society Japan Chapter Young Award (ICRA 2010)


    Contact

    • e-mail: kanezaki[at]isi.imi.i.u-tokyo.ac.jp

    Ph.D. candidate

    Affiliation
    Intelligent Systems & Informatics Lab
    Dept. of Mechano-Informatics
    Grad. School of Information Science & Technology
    The University of Tokyo, JAPAN