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We address the problem of room structure recognition from a 360 cylindrical panorama. The proposed approach first transforms the original panorama into four perspective projected sub-images, then predicts the final layout based on a holistic parameterization framework via candidate evaluation using a linear scoring function, whose weights are trained on a normal indoor image data set. Experiments...
In the field of computer vision, image matching is very important in many applications, such as the object recognition, 3D reconstruction, stereo vision, motion tracking and augmented reality. A method of improving the Opensurf algorithm used in AR for decreasing matching points and mismatch and increasing the calculation speed is proposed.
This paper proposes an unsupervised bottom-up boundary detection algorithm, which is an improved surround suppression model based on orientation contrast. First, the candidate boundary set is obtained by the edge focusing algorithm. Second, the orientation contrast map is constructed using the response of Gabor filter. The suppression term is computed on orientation contrast map using steerable filter,...
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