Kyoung-Rok Lee

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Depth maps are an integral component of 3D video processing. They have a number of uses, including view synthesis for multi-view video, human computer interaction, augmented reality, and 3D scene reconstruction. However, depth maps are often captured at low quality or low resolution due to sensor hardware limitations or estimation errors. In this paper, we(More)
In this paper, we propose a robust method for camera tracking and surface mapping using a handheld RGB-D camera which is effective in challenging situations such as fast camera motion or geometrically featureless scenes. The main contributions are threefold. First, we introduce a robust orientation estimation based on quaternion method for initial sparse(More)
In this paper, we have proposed a novel approach for the reconstruction of real object/scene with realistic surface geometry using a hand-held, low-cost, RGB-D camera. To achieve accurate reconstruction, the most important issues to consider are the quality of the geometry information provided and the global alignment method between frames. In our approach,(More)
In this paper, we propose an accurate estimation of the camera motion in a dynamic environment from RGB-D videos. To better exclude the moving object portion of the scene from the stationary background, we use image segmentation. Next, dense pixel matching between the current and reference color images is performed to construct the 3D point cloud for dense(More)
This study suggests the BMS(Background Model Set) algorithm used in the speaker verification to supplement the shortcoming in the process of calculation of RLJ-CM(RLJ-Confidence Measure) and normalized CM. The confidence measure shows the relative similarity between the recognized model and the unrecognized one. In calculation of the CM, the composition of(More)
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