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- W129804969 abstract "Vanishing point estimation is useful for a variety of computer vision tasks. Recent efforts in building large city models showed that the structural regularities of man-made environments, such as presence of sets of parallel and orthogonal lines and planes can be exploited towards 3D reconstruction of the buildings using the information about vanishing points and vanishing lines. Recent research into recognizing object classes showed the effectiveness of learning class-specific edges in object detection and recognition tasks. Because class-specific edge detection provides a low-level analysis of the image it may be integrated into any edge-based vanishing points estimation strategy without significant change in the high-level algorithms. In this paper we illustrate an application of learning classspecific edges to vanishing point estimation task. We modify algorithm proposed by Kosecka & Zhang and show that its performance is considerably improved by integrating classspecific edge filtering. The performance of our modified vanishing point estimation method, along with original method, are evaluated and compared." @default.
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- W129804969 date "2007-01-01" @default.
- W129804969 modified "2023-09-26" @default.
- W129804969 title "Learning class specific edges for vanishing point estimation" @default.
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