Kyungdon Joo

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One of the most hazardous driving scenario is the overtaking of a slower vehicle, indeed, in this case the front vehicle (being overtaken) can occlude an important part of the field of view of the rear vehicle's driver. This lack of visibility is the most probable cause of accidents in this context. Recent research works tend to prove that augmented reality(More)
We present a practical 3D reconstruction method to obtain a high-quality dense depth map from narrow-baseline image sequences captured by commercial digital cameras, such as DSLRs or mobile phones. Depth estimation from small motion has gained interest as a means of various photographic editing, but important limitations present themselves in the form of(More)
Given a set of surface normals, we pose a Manhattan Frame (MF) estimation problem as a consensus set maximization that maximizes the number of inliers over the rotation search space. We solve this problem through a branchand-bound framework, which mathematically guarantees a globally optimal solution. However, the computational time of conventional(More)
We propose a novel camera calibration method for defocused images using a smartphone under the assumption that the defocus blur is modeled as a convolution of a sharp image with a Gaussian point spread function (PSF). In contrast to existing calibration approaches which require well-focused images, the proposed method achieves accurate camera calibration(More)
The visual object tracking problem in a crowd scene has many challenges such as occlusion, similar objects and complex motion. This study presents a system of which modules are composed of feature tracking and detection methods. The proposed system fuses the two modules by converting the incomparable responses into a same metric domain. According to an(More)
Recently, the sparsity model has been applied to photometric stereo by modeling non-Lambertian artifacts as sparse components. As one of these efforts, we present l<sub>1</sub>-based photometric stereo for the non-Lambertian corruptions. A solution method was derived using the Augmented Lagrange Multiplier (ALM) method, which effectively solves the(More)
Recently, line feature has been used as addition feature in various computer vision applications such as 3D reconstruction and pose estimation, due to the lack of point feature in structured environments. In this paper, we review line assisted vision applications in structured environments: image stitching and segmentation. By showing the qualitative(More)