Robotics and Computer Vision Lab

Publications

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저 자 Kukjin Yoon, In So Kweon
학 회 Computer Vision and Image Understanding
논문일시(Year) 2008
논문일시(Month) 11
vol 112(2) / pp 173-183

The point ambiguity owing to the ambiguous local appearances of image points is one of the main causes making the stereo problem
difficult. Under the point ambiguity, local similarity measures are easy to be ambiguous and this results in false matches in ambiguous
areas.
In this paper, we present a new similarity measure to resolve the point ambiguity problem based on the idea that the distinctiveness,
not the interest, is an appropriate criterion for feature selection under the point ambiguity. Here, the interest of a point represents how
much information a point has for facilitating matching, while the distinctiveness of a point represents how much a point is distinguishable
from other points. The proposed similarity measure named the Distinctive Similarity Measure (DSM) is essentially based on the
distinctiveness of image points and the dissimilarity between them, which are both closely related to the local appearances of image
points; the distinctiveness of an image point is related to the probability of a mismatch while the dissimilarity is related to the probability
of a good match. We verify the efficiency of the proposed DSM by using testbed image sets. Experimental results prove that the proposed
DSM is very effective for both semi-dense and dense stereo matching and considering the point distinctiveness in both images can
improve the performance of stereo methods under the point ambiguity.

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
» 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
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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