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Displaying 1-6 out of 6 total
Superpixel Coherency and Uncertainty Models for Semantic Segmentation
Found in: 2013 IEEE International Conference on Computer Vision Workshops (ICCVW)
By Seungryul Baek,Taegyu Lim,Yong Seok Heo,Sungbum Park,Hantak Kwak,Woosung Shim
Issue Date:December 2013
pp. 275-282
We present an efficient semantic segmentation algorithm based on contextual information which is constructed using super pixel-level cues. Although several semantic segmentation algorithms employing super pixel-level cues have been proposed and significant...
 
Joint Depth Map and Color Consistency Estimation for Stereo Images with Different Illuminations and Cameras
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Yong Seok Heo, Kyoung Mu Lee, Sang Uk Lee
Issue Date:May 2013
pp. 1094-1106
In this paper, we propose a method that infers both accurate depth maps and color-consistent stereo images for radiometrically varying stereo images. In general, stereo matching and performing color consistency between stereo images are a chicken-and-egg p...
 
Robust Stereo Matching Using Adaptive Normalized Cross-Correlation
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Yong Seok Heo, Kyoung Mu Lee, Sang Uk Lee
Issue Date:April 2011
pp. 807-822
A majority of the existing stereo matching algorithms assume that the corresponding color values are similar to each other. However, it is not so in practice as image color values are often affected by various radiometric factors such as illumination direc...
 
Mutual information-based stereo matching combined with SIFT descriptor in log-chromaticity color space
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Yong Seok Heo, Kyoung Mu Lee, Sang Uk Lee
Issue Date:June 2009
pp. 445-452
Radiometric variations between input images can seriously degrade the performance of stereo matching algorithms. In this situation, mutual information is a very popular and powerful measure which can find any global relationship of intensities between two ...
 
Illumination and camera invariant stereo matching
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Yong Seok Heo, Kyoung Mu Lee, Sang Uk Lee
Issue Date:June 2008
pp. 1-8
Color information can be used as a basic and crucial cue for finding correspondence in a stereo matching algorithm. In a real scene, however, image colors are affected by various geometric and radiometric factors. For this reason, the raw color recorded by...
 
Simultaneous Depth Reconstruction and Restoration of Noisy Stereo Images using Non-local Pixel Distribution
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Yong Seok Heo, Kyoung Mu Lee, Sang Uk Lee
Issue Date:June 2007
pp. 1-8
In this paper, we propose a new algorithm that solves both the stereo matching and the image denoising problem simultaneously for a pair of noisy stereo images. Most stereo algorithms employ L1 or L2 intensity error-based data costs in the MAP-MRF framewor...
 
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