Robotics and Computer Vision Lab

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저 자 Ouk Choi, In So Kweon
학 회 Computer Vision and Image Understanding
논문일시(Year) 2009
논문일시(Month) 06
Volume 113, Issue 6, June 2009, Pages 726-742

We present a method for matching feature points robustly across widely separated images. In general, it
is difficult to match feature points correctly by using only the similarity between local descriptors. In our
approach, the correspondence problem is formulated as an optimization problem with one-to-one correspondence
constraints. A novel objective function is defined to preserve local image-to-image affine
transformations across correspondences. This objective function enables our method to cope with significant
viewpoint or scale changes between images, unlike previous methods that relied on the assumption
that the distance or orientation between neighboring feature points are preserved across images. A relaxation
algorithm is proposed for maximizing the objective function, which imposes one-to-one correspondence
constraints, unlike conventional relaxation labeling algorithms that impose many-to-one
correspondence constraints. Experimental evaluation shows that our method is robust with respect to
significant viewpoint changes, scale changes, and nonrigid deformations between images, in the presence
of repeated textures that make feature point matching more ambiguous. Our method is also applied to
object recognition in cluttered environments, giving some promising results.

List of Articles
» Robust feature point matching by preserving local geometric consistency
Ouk Choi, In So Kweon
Computer Vision and Image Understanding 2009 / 06
147. Motion Estimation by Decoupling Rotation and Translation in Catadioptric Vision
Jean-Charles Bazin, C. Demoncreaux, P. Vasseur, In So Kweon
Computer Vision and Image Understanding 2009 / 12
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
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
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