Robotics and Computer Vision Lab

Publications

Extra Form
저 자 Sungho Kim, In So Kweon
학 회 Pattern Recognition
논문일시(Year) 2008
논문일시(Month) 02
Volume 41 , Issue 2, pp. 754-773

Scalability is an important issue in object recognition as it reduces database storage and recognition time. In this paper, we propose a new scalable 3D object representation and a learning method to recognize many everyday objects. The key proposal for scalable object representation is to combine the concept of feature sharing with multi-view clustering in part-based object representation, in particular a common-frame constellation model (CFCM). In this representation scheme, we also propose a fully automatic learning method: appearance-based automatic feature clustering and sequential construction of clustered CFCMs from labeled multi-views and multiple objects. We evaluated the scalability of the proposed method to COIL-100 DB and applied the learning scheme to 112 objects with 620 training views. Experimental results show the scalable learning results in almost constant recognition performance relative to the number of objects.

List of Articles
146. Multi-Video Synopsis: Representing Multiple Videos with a Single Video Sequence
Teng Li, Tao Mei, In So Kweon, Xian-Sheng Hua
Signal Processing 2009 / 12
145. Simultaneous Place and Object Recognition using Collaborative Context Information
Sungho Kim, In So Kweon
Image and Vision Computing 2009 / 05
144. Camera calibration based on arbitrary parallelograms
Jun-sik Kim, In So Kweon
Computer Vision and Image Understanding 2009 / 01
143. Change Detection Using a Statistical Model in an Optimally Selected Color Space
Youngbae Hwang, Jun-sik Kim, In So Kweon
Computer Vision and Image Understanding 2008 / 12
142. Distinctive Similarity Measure for Stereo Matching Under Point Ambiguity
Kukjin Yoon, In So Kweon
Computer Vision and Image Understanding 2008 / 11
141. Object Recognition Using a Generalized Robust Invariant Feature and Gestalt's Law of Proximity and Similarity
Sungho Kim, Kukjin Yoon, In So Kweon
Pattern Recognition 2008 / 02
» Scalable Representation for 3D Object Recognition Using Feature Sharing and View Clustering
Sungho Kim, In So Kweon
Pattern Recognition 2008 / 02
139. Robust Model-based Scene Interpretation by Multilayered Context Information
Sungho Kim, In So Kweon
Computer Vision and Image Understanding (CVIU) 2007 / 03
138. Appearance-Cloning: Photo-Consistent Scene Recovery from Multi-View Images
Howon Kim, In So Kweon
International journal of computer vision (IJCV) 2006 / 02
137. Adaptive Support-Weight Approach for Correspondence Search
Kukjin Yoon, In So Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2006 / 04
136. Single-camera panoramic stereo system with single-viewpoint optics
Gijeong Jang, Sungho Kim, In So Kweon
Optics Letters 2006 / 01
135. 3D Target Recognition using Cooperative Feature Map Binding under Markov Chain Monte Carlo
Sungho Kim, In So Kweon
Pattern Recognition Letters 2006 / 05
134. An Effective 3D Target Recognition Imitating Robust Methods of Human Visual System
Sungho Kim, Gijeong Jang, In So Kweon
Pattern Analysis and Applications 2005 / 12
133. Geometric and algebraric constraints of projective concentric circles and their applications to camera calibration
Jun-sik Kim, Pirre Gurdjos, In So Kweon
IEEE Trans. on Pattern Analysis and Machine Intelligence 2005 / 04
132. Automatic model-based 3D object recognition by combining feature matching with tracking
Sungho Kim, In So Kweon
Machine Vision and Applications 2005 / 12
131. Combined model-based 3D object recognition
Sungho Kim, Gijeong Jang, Wangheon Lee, In So Kweon
International Journal of Pattern Recognition and Artificial Intelligence 2005 / 11
130. Voting-based Separation of Diffuse and Specular Pixels
Kukjin Yoon, In So Kweon
Electronics Letters 2004 / 09
129. Automatic edge detection using 3x3 ideal binary pixel patterns and fuzzy-based edge thresholding
Dongsu Kim, Wangheon Lee, In So Kweon
Pattern Recognition Letters 2004 / 10
128. Detecting cuts and dissolves through linear regression analysis
Seunghoon Han, In So Kweon
Electronics Letters 2003 / 10
127. Fast object recognition using dynamic programming from combination of salient line groups
Dongjoong Kang, Jongeun Ha, In So Kweon
Pattern Recognition 2003 / 01
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