Paper:
Image-Searching for Office Equipment Using Bag-of-Keypoints and AdaBoost
Seiji Aoyagi, Atsushi Kohama, Yuki Inaura,
Masato Suzuki, and Tomokazu Takahashi
Faculty of Engineering, Kansai University, 3-3-35 Yamate-cho, Suita, Osaka 564-8680, Japan
- [1] S. Thrun, W. Burgard, and D. Fox, “Probabilistic Robotics,” Cambridge, MA New York, MIT Press, 2005 (Japanese version by R. Ueda, Mainichi-Communications, 2007).
- [2] A. Davison, “Real-time Simultaneous Localization and Mapping with a Single Camera,” Proc. ICCV, pp. 1403-1410, 2003.
- [3] M. Tomono, “3-D Object Map Building Using Dense Object Models with SIFT-based Recognition Features,” Proc. IROS 2006, pp. 1885-1890, 2006.
- [4] R. Sim and J. J. Little, “Autonomous Vision-Based Exploration and Mapping Using Hybrid Maps and Rao-Blackwellised Particle Filters,” Proc. IROS 2006, pp. 2082-2089, 2006.
- [5] R. Kurazume, H. Yamada, K. Murakami, Y. Iwashita, and T. Hasegawa, “Target Tracking Using SIR and MCMC Particle Filters by Multiple Cameras and Laser Range Finders,” Proc. IROS 2008, pp. 3838-3844, 2008.
- [6] S. Ikeda and J. Miura, “3D Indoor Environment Modeling by a Mobile Robot with Omnidirectional Stereo and Laser Range Finder,” Proc. IROS 2006, pp. 3435-3440, 2006.
- [7] J. Neira, A. J. Devison, and J. J. Leonard (Eds.), “Special Issue on Visual SLAM,” IEEE Trans. Robotics, Vol.24, No.5, pp. 929-1093, 2008.
- [8] S. Aoyagi, N. Hattori, S. Komai, M. Suzuki, M. Takano, and E. Fukui, “Building 3DMap by Object Detection and Recognition Using SIFT for One Monocular Image of a Whole View of Room - Assistance of Invisible Floor Marks, Partial Templates, Spatial Relation to Floor, and Semantic Information on Object Shape -,” Proc. Meeting on Image Recognition and Understanding 2009 (MIRU 2009), IS3-57, 2009.
- [9] G. Csurka, C. R. Dance, L. Fan, J. Willamowski, and C. Bray, “Visual Categorization with Bags of Keypoints,” Proc. of ECCVWorkshop on Statistical Learning in Computer Vision, pp. 59-74, 2004.
- [10] C. D. Manning and H. Schtze, “Foundations of Statistical Natural Language Processing,” The MIT Press, 1999.
- [11] D. G. Lowe, “Object Recognition from Local Scale-Invariant Features,” Proc. ICCV, pp. 1150-1157, 1999.
- [12] Y. Freund and R. E. Schapire, “Experiments with a new boosting algorithm,” Proc. of the 13th Intl. Conf. Machine Learning, pp. 148-156, 1996.
- [13] O. Carmichael and M. Hebert, “Object Recognition by a Cascade of Edge Probes,” Proc. of the British Machine Vision Conference, 2002.
- [14] F. F. Li and P. Perona, “A Bayesian Hierarchical Model for Learning Natural Scene Categories,” Proc. Computer Vision and Pattern Recognition (CVPR), Vol.2, pp. 524-53, 2005.
- [15] K. Takita, T. Aoki, Y. Sasaki, T. Higuchi, and K. Kobayashi, “Highaccuracy Subpixel Image Registration Based on Phase-only Correlation,” IEICE Trans. Fundamentals, Vol.E86-A, No.8, pp. 1925-1934, 2003.
- [16] P. Viola and M. J. Jones, “Robust Real-Time Face Detection,” Int. J. Computer Vision, Vol.57, No.2, pp. 137-154, 2004.
- [17] S. Sinha, J. M. Frahm, M. Pollefeys, and Y. Genc, “GPU-based Video Feature Tracking and Matching,” Tech. Rep. TR06-012, University of North Carolina at Chapel Hill, 2006.
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