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This letter addresses the problem of 3-D object recognition, whose aim is to recognize and estimate the pose of user-defined 3-D object when given an image. One difficult problem for 3-D object recognition is false correspondences between input image and 3-D model. To overcome this problem, we propose a novel aspect graph aware 3-D object representation(More)
Over-exposure and perspective distortion are two of the main factors underlying inaccurate feature extraction. First, based on Steger's method, we propose a method for correcting curvilinear structures (lines) extracted from over-exposed images. A new line model based on the Gaussian line profile is developed, and its description in the scale space is(More)
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