Robotics and Computer Vision Lab

Publications

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저 자 Sungho Kim, In So Kweon
학 회 Computer Vision and Image Understanding (CVIU)
논문일시(Year) 2007
논문일시(Month) 03
105(3):167-187

In this paper, we present a new graph-based frame work for collaborative place, object, and part recognition in indoor environments.
We consider a scene to be an undirected graphical model composed of a place node, object nodes, and part nodes with undirected links.
Our key contribution is the introduction of collaborative place and object recognition (we call it as the hierarchical context in this paper) instead of object only or causal relation of place to objects. We unify the hierarchical context and the well-known spatial context into a complete hierarchical graphical model (HGM). In the HGM, object and part nodes contain labels and related pose information instead of only a label for robust inference of objects. The most difficult problems of the HGM are learning and inferring variable graph structures.
We learn the HGM in a piecewise manner instead of by joint graph learning for tractability. Since the inference includes variable structure estimation with marginal distribution of each node, we approximate the pseudo-likelihood of marginal distribution using multimodal sequential Monte Carlo with weights updated by belief propagation. Data-driven multimodal hypothesis and context-based pruning provide the correct inference. For successful recognition, issues related to 3D object recognition are also considered and several state-of-the-art methods are incorporated. The proposed system greatly reduces false alarms using the spatial and hierarchical contexts.
We demonstrate the feasibility of the HGM-based collaborative place, object, and part recognition in actual large-scale environments for guidance applications (12 places, 112 3D 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
140. Scalable Representation for 3D Object Recognition Using Feature Sharing and View Clustering
Sungho Kim, In So Kweon
Pattern Recognition 2008 / 02
» 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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