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This paper presents a novel approach for creating curvilinear, texture mapped, 3D scene models from a single painting or photograph with no prior internal knowledge about the shape. The new technique takes input as a sparse set of user-specified constraints, and generates a well-behaved 3D surface satisfying the parameters. As each constraint is specified,(More)
This paper proposes a method of region segmentation by which occlusions are extracted from a non-repeating, non-parametric texture. Based on a method of texture synthesis proposed by Efros and Leung (1999), this method of segmentation assumes the texture can be described by a Markov random field with probabilities conditioned on neighboring pixels. Instead(More)
An approach for the 3D reconstruction of architectural scenes from two uncalibrated images is described in this paper. From two views of one architectural structure, three pairs of corresponding vanishing points of three major mutual orthogonal directions can be extracted. The simple but powerful constraints of parallelism and orthogonally in architectural(More)
This paper proposes an approach for image segmentation of the urban traffic scene captured from a car-mounted camera. First of all, an improved SIFT feature matching algorithm is adopted for extracting 2D keypoints of the scene. Tracking the 2D keypoints generates the 3D points clouds that can estimate the 3D world structure and motion features. And then(More)
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