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Displaying 1-33 out of 33 total
Stereo reconstruction using high order likelihood
Found in: Computer Vision, IEEE International Conference on
By Ho Yub Jung,Kyoung Mu Lee,Sang Uk Lee
Issue Date:November 2011
pp. 1211-1218
Under the popular Bayesian approach, a stereo problem can be formulated by defining likelihood and prior. Likelihoods are often associated with unary terms and priors are defined by pair-wise or higher order cliques in Markov random field (MRF). In this pa...
 
Shape-Adaptive 3-D Mesh Simplification Based on Local Optimality Measurement
Found in: Computer Graphics and Applications, Pacific Conference on
By In Kyu Park, Sang Wook Lee, Sang Uk Lee
Issue Date:October 2002
pp. 462
Mesh simplification is the process of reducing the number of triangles in a mesh representation of object surface. For a given level of detail or error tolerance, the conventional mesh simplification algorithms maximize the edge length globally, without ex...
 
A New Attributed Relational Graph Matching Algorithm Using the Nested Structure of Earth Mover's Distance
Found in: Pattern Recognition, International Conference on
By Duck Hoon Kim, Il Dong Yun, Sang Uk Lee
Issue Date:August 2004
pp. 48-51
In general, object features can be represented as the nodes in attributed relational graph (ARG) with the connecting edges implying their relations. Therefore, the ARG matching plays a significant role in object recognition. Actually, the ARG matching can ...
 
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...
 
A Unified Probabilistic Approach to Feature Matching and Object Segmentation
Found in: Pattern Recognition, International Conference on
By Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
Issue Date:August 2010
pp. 464-467
This paper deals with feature matching and segmentation of common objects in a pair of images, simultaneously. For the feature matching problem, the matching likelihoods of all feature correspondences are obtained by combining their discriminative power wi...
 
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...
 
Optical flow estimation with adaptive convolution kernel prior on discrete framework
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Kyong Joon Lee, Dongjin Kwon, Il Dong Yun, Sang Uk Lee
Issue Date:June 2010
pp. 2504-2511
We present a new energy model for optical flow estimation on discrete MRF framework. The proposed model yields discrete analog to the prevailing model with diffusion tensor-based regularizer, which has been optimized by variational approach. Inspired from ...
 
Nonparametric higher-order learning for interactive segmentation
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
Issue Date:June 2010
pp. 3201-3208
In this paper, we deal with a generative model for multilabel, interactive segmentation. To estimate the pixel likelihoods for each label, we propose a new higher-order formulation additionally imposing the soft label consistency constraint whereby the pix...
 
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 ...
 
An Object Removal Using Multi-view Sequence Inpainting Technique
Found in: Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
By Soon-Young Lee, Jun-Hee Heu, Chang-Su Kim, Sang-Uk Lee
Issue Date:August 2008
pp. 1235-1238
A framework for object removal in multi-view video sequences is proposed in this work. After a mask cloning procedure, we arrange the sites at which source patches are pasted over mask areas. To each site, candidate blocks are assigned by a decimation sche...
 
Segment-based Foreground Object Disparity Estimation Using Zcam and Multiple-View Stereo
Found in: Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
By Tae Hoon Kim, Hoyub Jung, Kyoung Mu Lee, Sang Uk Lee
Issue Date:August 2008
pp. 1251-1254
3D videos play an important role in adoption of 3DTV display modules for the masses because creating realistic contents for 3DTV is a hard and time-consuming process. In this paper, we consider the problem of generating three-view 3D video depth using a se...
 
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...
 
Multiview normal field integration using level set methods
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Ju Yong Chang, Kyoung Mu Lee, Sang Uk Lee
Issue Date:June 2007
pp. 1-8
In this paper, we propose a new method to integrate multiview normal fields using level sets. In contrast with conventional normal integration algorithms used in shape from shading and photometric stereo that reconstruct a 2.5D surface using a single-view ...
 
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...
 
Face Recognition Using Face-ARG Matching
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Bo-Gun Park, Kyoung-Mu Lee, Sang-Uk Lee
Issue Date:December 2005
pp. 1982-1988
In this paper, we propose a novel line feature-based face recognition algorithm. A face is represented by the Face-ARG model, where all the geometric quantities and the structural information are encoded in an Attributed Relational Graph (ARG) structure, t...
 
A Dense Stereo Matching Using Two-Pass Dynamic Programming with Generalized Ground Control Points
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Jae Chul Kim, Kyoung Mu Lee, Byoung Tae Choi, Sang Uk Lee
Issue Date:June 2005
pp. 1075-1082
A method for solving dense stereo matching problem is presented in this paper. First, a new generalized ground control points (GGCPs) scheme is introduced, where one or more disparity candidates for the true disparity of each pixel are assigned by local ma...
 
How CanWe Evaluate Object Recognition Algorithms Using a Public Object Image Database?
Found in: Computer Vision and Pattern Recognition Workshop
By Soo Chahn Lee, Duck Hoon Kim, Sang Uk Lee, Il Dong Yun Yun
Issue Date:June 2005
pp. 37
<p>In this paper, to evaluate the performance of object recognition algorithms, we propose a new evaluation framework by synthesizing natural scenes based on the Amsterdam Library of Object Images [1]. Here, the evaluation of an object recognition al...
 
Recognition and Reconstruction of 3-D Objects Using Model-Based Perceptual Grouping
Found in: Pattern Recognition, International Conference on
By In Kyu Park, Sang Uk Lee, Kyoung Mu Lee
Issue Date:September 2000
pp. 1720
In this paper, we address a new algorithm for recognition and reconstruction of 3-D polyhedral objects, based on perceptual grouping and graph search technique. Perceptual grouping is performed in a model-based framework, in which decision tree classifier ...
 
A Robust Warping Method for Fingerprint Matching
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Dongjin Kwon, Il Dong Yun, Sang Uk Lee
Issue Date:June 2007
pp. 1-6
This paper presents a robust warping method for minutiae based ngerprint matching approaches. In this method, a deformable fingerprint surface is described using a triangular mesh model. For given two extracted minutiae sets and their correspondences, the ...
 
New MRF Parameter Estimation Technique for Texture Image Segmentation using Hierarchical GMRF Model Based on Random Spatial Interaction and Mean Field Theory
Found in: Pattern Recognition, International Conference on
By Dong Hwan Kim, Il Dong Yun, Sang Uk Lee
Issue Date:August 2006
pp. 365-368
This paper presents a new Markov Random Field (MRF) parameter estimation technique using hierarchical MRF model based on the random spatial interaction (RSI) and the mean field theory for the textured image segmentation. By considering spatial interaction ...
 
Fingerprint Matching Method Using Minutiae Clustering and Warping
Found in: Pattern Recognition, International Conference on
By Dongjin Kwon, Il Dong Yun, Duck Hoon Kim, Sang Uk Lee
Issue Date:August 2006
pp. 525-528
Solving non-linear distortion problems in fingerprint matching is important and still remains as a challenging topic. We have developed a new fingerprint matching method to deal with non-linear distortion problems efficiently by clustering locally matched ...
 
Interactive 3-D Shape Retrieval System Using the Attributed Relational Graph
Found in: Computer Vision and Pattern Recognition Workshop
By Duck Hoon Kim, Il Dong Yun, Sang Uk Lee
Issue Date:July 2004
pp. 147
One of the issues in 3-D shape retrieval arises from the fact that users suffer inherent difficulty in generating a 3-D query. Therefore, the demands on the user-friendly querying interface such as query by sketch and query by editing are increasing. In th...
 
Novel fractal image compression method with non-iterative decoder
Found in: Image Processing, International Conference on
By Chang-Su Kim, Rin-Chul Kim, Sang-Uk Lee
Issue Date:October 1995
pp. 3268
We propose a novel fractal image compression technique, which does not require iteration at the decoder. The main problem relating to the conventional noniterative algorithm is that the smooth region cannot be coded efficiently, since the size of the range...
 
Non-iterative post-processing technique for transform coded image sequence
Found in: Image Processing, International Conference on
By Hoon Paek, Jong-Wook Park, Sang-Uk Lee
Issue Date:October 1995
pp. 3208
In this paper, we present a new post-processing algorithm, based on the theory of projections onto convex sets (POCS), to enhance the quality of decoded images degraded by the blocking artifact. In our approach, by introducing the notion of the global slop...
 
Constructing NURBS Surface Model from Scattered and Unorganized Range Data
Found in: 3D Digital Imaging and Modeling, International Conference on
By In Kyu Park, Sang Uk Lee, Il Dong Yun
Issue Date:October 1999
pp. 0312
In this paper, we propose an algorithm to produce 3-D surface model from a set of range data, based on Non-Uniform Rational B-Splines (NURBS) surface fitting technique. It is assumed that the range data is initially unorganized and scattered 3-D points, wh...
 
Learning Full Pairwise Affinities for Spectral Segmentation
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
Issue Date:July 2013
pp. 1690-1703
Segmenting a single image into multiple coherent groups remains a challenging task in the field of computer vision. Particularly, spectral segmentation which uses the global information embedded in the spectrum of a given image's affinity matrix is a major...
 
Edge-Based Approach to Mesh Simplification
Found in: 3D Digital Imaging and Modeling, International Conference on
By Kyowoong Choo, Il Dong Yun, Sang Uk Lee
Issue Date:October 1999
pp. 0368
This paper presents a novel technique for simplifying a triangulated surface at different levels of resolution. While most existing algorithms based on iterative vertex decimation relies on distance as error metric, the proposed algorithm utilizes an edge ...
 
Unsupervised segmentation of textured image using Markov random field in random spatial interaction
Found in: Image Processing, International Conference on
By Jeong Hee Kim, Il Dong Yun, Sang Uk Lee
Issue Date:October 1998
pp. 756
In this paper, we propose an unsupervised segmentation algorithm for a texture image, based on the Markov random field (MRF) in random spatial interaction (RSI). The RSI, which is also another random field, has been adopted to distinguish real texture imag...
 
Geometric modeling from scattered 3-D range data
Found in: Image Processing, International Conference on
By In Kyu Park, Sang Uk Lee
Issue Date:October 1997
pp. 712
We propose an algorithm to produce a 3-D CAD model from a set of range data, based on non-uniform rational B-splines (NURBS) surface fitting technique. Our goal is to construct continuous geometric models, assuming that the topology of surface is unknown. ...
 
Split-and-merge segmentation employing thresholding technique
Found in: Image Processing, International Conference on
By Hee Soo Yang, Sang Uk Lee
Issue Date:October 1997
pp. 239
The conventional split-and-merge algorithm is lacking in the adaptability to the image semantics because of its stiff quadtree-based structure. A thresholding technique is employed in the splitting phase of the split-and-merge segmentation scheme to direct...
 
Robust transmission of video over noisy channel using parity motion vector
Found in: Image Processing, International Conference on
By Chang-Su Kim, Rin-Chul Kim, Sang-Uk Lee
Issue Date:October 1997
pp. 342
This paper introduces a novel concept of PMV (parity motion vector) into the MC-DCT (motion compensation-discrete cosine transform) coder, in order to improve its robustness to transmission errors over noisy channels. By inserting the redundant PMVs system...
 
Models and algorithms for efficient color image indexing
Found in: Content-Based Access of Image and Video Libraries, IEEE Workshop on
By In Kyu Park, Il Dong Yun, Sang Uk Lee
Issue Date:June 1997
pp. 36
A robust color image retrieval algorithm is proposed, based on the hybrid graph representation, i.e. a dual graph which consists of a modified color adjacency graph (MCAG) and a spatial variance graph (SVG). The MCAG is proposed to enhance the indexing per...
 
A comparative study on attributed relational gra matching algorithms for perceptual 3-D shape descriptor in MPEG-7
Found in: Proceedings of the 12th annual ACM international conference on Multimedia (MULTIMEDIA '04)
By Duck Hoon Kim, Il Dong Yun, Sang Uk Lee
Issue Date:October 2004
pp. 700-707
Nowadays, the demand on user-friendly querying interface such as query-by-sketch and query-by-editing is an important issue in the content-based retrieval system for 3-D object database. Especially in MPEG-7, P3DS (Perceptual 3-D Shape) descriptor has been...
     
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