• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.10
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• pp.123-131
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• 1999

In this paper, we proposed stereo matching algorithm by dynamic programming with edges emphasized. Existing algorithms show blur generally at depth discontinuities owing to smoothness constraint and non-existence of matching pixel in occlusion regions. Also it accompanies matching error by lackness of matching information in the untextured regions. This paper defines new cost function to make up for the problems occurred to existing algorithms. It is possible through deriving matching of edges in left and right images to be carried out between edge regions anf deriving that in the other regions to be peformed between the other regions. In case of the possibility that edges can be Produced in a large amount, matching between edge information adds weight to cost function in proportion to Path distance. Proposed algorithm was applied to various images obtained by convergent camera model as well as parallel camera model. As the result, proposed algorithm showed improved performance in the aspect of matching error and processing in the occlusion regions compared to existing algorithms. Also it could improve blur especially in discontinuity regions.

• IEIE Transactions on Smart Processing and Computing
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• v.1 no.2
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• pp.73-77
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• 2012

This paper reports a combined depth- and model-based face detection and tracking approach. The proposed algorithm consists of four functional modules; i) color-based candidate region extraction, ii) generation of the depth histogram for handling occlusion, iii) rotation-invariant face region detection using ellipse fitting, and iv) face tracking based on motion prediction. This technique solved the occlusion problem under complicated environment by detecting the face candidate region based on the depth-based histogram and skin colors. The angle of rotation was estimated by the ellipse fitting method in the detected candidate regions. The face region was finally determined by inversely rotating the candidate regions by the estimated angle using Haar-like features that were robustly trained robustly by the frontal face.

• Journal of Electrical Engineering and Technology
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• v.10 no.5
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• pp.2189-2196
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• 2015

Stereo matching algorithm is usually used to obtain a disparity map from a pair of images. However, the disparity map obtained by using stereo matching contains lots of noise and error regions. In this paper, we propose a virtual-view synthesis algorithm using disparity refinement in order to improve the quality of the synthesized image. First, the error region is detected by examining the consistency of the disparity maps. Then, motion information is acquired by applying optical flow to texture component of the image in order to improve the performance. Then, the occlusion region is found using optical flow on the texture component of the image in order to improve the performance of the optical flow. The refined disparity map is finally used for the synthesis of the virtual view image. The experimental results show that the proposed algorithm improves the quality of the generated virtual-view.

• Journal of Korea Multimedia Society
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• v.12 no.1
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• pp.147-155
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• 2009

Occlusion force measuring and analysis is a diagnostic method of tooth dynamics through the related force analysis. In this paper, we design and implement a series of occlusion force measuring software and evaluate its utility as a base system for a new occlusion force measure and analysis system development. For the reason, we developed a group of tools to measure the normal and abnormal occlusion force. Firstly, we have visualized the occlusion force distribution with quantitative figures. The center of force (COF) variation was visualized the path of marker according to teeth dynamics and the distribution of occlusion forces in 14 tooth regions. Secondly, we have implemented a left and right tooth force balance measurement ratio tool to estimate a specific tooth region force. Furthermore, the measured occlusion force variation recorded in the software each 0.5 second. As the result of the physical examination by the accessed hardware of sensor sheet method, we confirmed the distribution and balance of forces effectively.

• The Journal of Korean Medicine
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• v.27 no.2 s.66
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• pp.70-85
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• 2006

Objectives; This study examined the neuroprotective effect of Hyulbuchookautang (血府逐瘀湯, HBCAT)against neural damage following focal cerebral infarction. Methods : Sprague-Dawley Rats were induced with focal cerebral infarction by temporal middle cerebral artery occlusion (MCAO). The rats were divided into 2 groups. We treated extract of HBCAT to one group after operation (sample group), and the other group wasn't treated after operation (control group). We observed neurological scores and TIC-stained infarct area, total infarct volume in brain sections and Bax-positive neurons, HSP70- positive neurons in brain regions. Results : HBCAT treatment at 3 days after MCAO reduced neurological scores induced by MCAO. HBCAT treatment at 5 days after MCAO reduced TTC-stained infarct area in brain sections induced by MCAO. HBCAT treatment at 5 days after MCAO reduced total infarct volume in brain sections induced by MCAO. HBCAT treatment after MCAO reduced Bax-positive neurons in cortex infarct core and cortex infarct penumbra and caudo-putamen of brain regions induced by MCAO. HBCAT treatment after MCAO reduced HSP70- positive neurons in cortex infarct penumbra of brain regions induced by MCAO. Conclusions : These results suggest that HBCAT has a neuroprotective effect against focal cerebral ischemia.

• Journal of Broadcast Engineering
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• v.4 no.1
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• pp.59-67
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• 1999

In this paper, we study two important topics in stereoscopic image communication system. One is a disparity estimation (DE) method to obtain the depth information of a scene at the transmitter and the other is an intermediate view reconstruction(IVR) method at the receiver. We propose a new DE method using an edge-preserving directional regularization technique. The proposed DE method smooths disparity vectors in smooth regions and preserves edges without over-smoothing problem. It provides better reconstructed stereoscopic images and improved coding efficiency than the existing regularization techniques. In addition. we propose a new IVR method using interpolation and extrapolation techniques. The proposed IVR method preserves edge regions as well as occlusion regions well. Thus. it gives better intermediate views than the existing IVR methods.

• Korean Journal of Computational Design and Engineering
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• v.16 no.4
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• pp.277-284
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• 2011

In tangible augmented reality (AR) environments for virtual prototyping, the user interacts with virtual products by manipulating tangible objects with his or her hands, but the user often encounter awkward situations in which his or her hands are occluded by augmented virtual objects, which reduces both immersion and ease of interaction. In this paper, we present how to resolve such hand region occlusion in order to enhance natural interaction and immersive visualization. In the AR environment considered, we use two types (product-type and pointer-type) of tangible objects for tangible user interaction with a virtual product of interest. Holding the tangible objects with his or her hands, the user can create input events by touching specified regions of the product-type tangible object with the pointer-type tangible object. We developed a method for resolving hand region occlusion frequently arising during such user interaction, It first detect hand region in a real image and refines the rendered image of the virtual object by subtracting the hand region from the rendered image, Then, it superimposes the refined image onto the real image to obtain an image in which the occlusion is resolved. Incorporated into tangible AR interaction for virtual prototyping of handheld products such as cellular phones and MP3 players, the method has been found by a preliminary user study that it is not only useful to improve natural interaction and immersive visualization of virtual products, but also helpful for making the users experience the products' shapes and functions better.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.3
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• pp.317-327
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• 2016

The extraction of significant feature points from a video is directly associated with the suggested method's function. In particular, the occlusion regions in trees or people, or feature points extracted from the background and not from objects such as the sky or mountains are insignificant and can become the cause of undermined matching or recognition function. This paper classifies the feature points required for building recognition by using multi-frames in order to improve the recognition function(algorithm). First, through SIFT(scale invariant feature transform), the primary feature points are extracted and the mismatching feature points are removed. To categorize the feature points in occlusion regions, RANSAC(random sample consensus) is applied. Since the classified feature points were acquired through the matching method, for one feature point there are multiple descriptors and therefore a process that compiles all of them is also suggested. Experiments have verified that the suggested method is competent in its algorithm.

• The Journal of Korean Medicine
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• v.28 no.2 s.70
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• pp.44-53
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• 2007

Objectives : This study examined the neuroprotective effect of Hyulbuchookau-tang (血府逐瘀湯, HBCAT) against neural damage following global cerebral infarction. Methods : Sprague-Dawley rats were induced with global cerebral infarction by occlusion of the bilateral common carotid artery with hypotension (CCAO). The rats were divided into 3 groups. We treated extract of HBCAT to one group after operation (sample group), one group wasn't induced with ischemic damage after operation (sham group), and one group was induced with ischemic damage after operation (control group) but not treated. We observed neurological scores and cresyl violet-stained hippocampus CAl area, TUNEL-positive neurons, and Bax-positive neurons in brain regions. Results : HBCAT treatment after CCAO increased pyramidal neurons in CAl hippocampus induced by CCAO. HBCAT treatment after CCAO reduced Bax-positive neurons in CAl hippocampus of brain regions induced by CCAO. HBCAT treatment after CCAO wasn't effective for HSP70-positive neurons in CAl hippocampus induced by CCAO. Conclusions : These results suggest that HBCAT has a neuroprotective effect against global cerebral ischemia.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.418-422
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• 2009

Generally, algorithms for generating disparity maps can be clssified into two categories: region-based method and feature-based method. The main focus of this research is to generate a disparity map with an accuracy depth information for 3-dimensional reconstructing. Basically, the region-based method and the feature-based method are simultaneously included in the proposed algorithm, so that the existing problems including false matching and occlusion can be effectively solved. As a region-based method, regions of false matching are extracted by the proposed MMAD(Modified Mean of Absolute Differences) algorithm which is a modification of the existing MAD(Mean of Absolute Differences) algorithm. As a feature-based method, the proposed method eliminates false matching errors by calculating the vector with SIFT and compensates the occluded regions by using a pair of adjacent SIFT matching points, so that the errors are reduced and the disparity map becomes more accurate.