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Most existing approaches to indoor scene understanding formulate the problem based on the pinhole camera geometry. Unfortunately, these approaches cannot be utilized well for an omni directional image. In this paper, we focus on the problem of estimating the spatial layout of rooms from a single fisheye image. Considering the wide field of view of fisheye cameras, we introduce a structure symmetrical...
Principal direction is an important geometry feature of 3D surfaces. It can benefit many applications such as surface quadrangulation, surface field design and so on. In this paper, we propose a novel algorithm for estimating principal directions based on normal variations. The proposed algorithm is based on the observation that the principal directions indicate respectively the slowest and the steepest...
Augmented reality is a widespread concept having application ranging from medicine to entertainment and education. AR faces many challenges like camera tracking, occlusion handling and inconsistent illumination. Real time illumination of virtual objects in dynamic environment is still a challenging task. Various methods have been proposed for real time rendering of virtual objects in real environment...
We present a novel framework for estimating depth-map in a single 2D image. The proposed framework employs both vanishing point and superpixels as geometric and texture cues, respectively. The combination of both cues can generate a feasible perceptual depth-map, which will be applied to 2D to 3D image conversion.
Previous studies of depth and distance estimation with autostereoscopic 3D displays indicate the users do not necessarily exhibit better depth perception with such displays. Yet, users claim 3D displays provide higher immersiveness. As shapes of objects are often described by their angles, it is expected that angle perception would contribute to object recognition and scene understanding. However;...
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