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In this contribution a novel method to compute dense point-to-point correspondences between 3D faces is presented. The faces are aligned in 3D space with a Generalized Procrustes Analysis and subsequently mapped into 2D space. To compute a correspondence flow between two faces an energy function is minimized which is based on the following assumptions: smoothness of the flow, mapping of landmarks...
We present an algorithm for 3d pose estimation of articulated people in natural images. The poses are disassembled into a collection of local patches and a new pose is inferred by assembling the local patches. This concept allows inference of a wide variety of poses from a small number of training patches. The actual process is realized efficiently by a novel voting scheme where each local patch extracted...
In this paper, a novel view-based approach for 3D object retrieval is introduced. A set of 2D images (multi-views) are automatically generated from a 3D object, by taking views from uniformly distributed viewpoints. For each image, a set of 2D rotation-invariant shape descriptors is extracted. The global shape similarity between two 3D models is achieved by applying a novel matching scheme, which...
This paper describes a method to efficiently search for 3D models in a city-scale database and to compute the camera poses from single query images. The proposed method matches SIFT features (from a single image) to viewpoint invariant patches (VIP) from a 3D model by warping the SIFT features approximately into the orthographic frame of the VIP features. This significantly increases the number of...
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