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Face sketch synthesis with a photo is challenging due to that the psychological mechanism of sketch generation is difficult to be expressed precisely by rules. Current learning-based sketch synthesis methods concentrate on learning the rules by optimizing cost functions with low-level image features. In this paper, a new face sketch synthesis method is presented, which is inspired by recent advances...
In this paper, a novel relevance feedback algorithm based on SVM is proposed for 3d model retrieval. It aims to enhance retrieval accuracy in 3D model database systems. During the retrieval process, the system learns from the related samples marked by the user after each feedback, and update the training sample set with the previous returns. Thus an SVM classifier model is established and improved...
In this paper we propose a new algorithm of face clustering on triangle meshes, we call it balanced hierarchical face clustering (BHFC for short). Given a triangle mesh model, the algorithm iteratively generates a binary tree of face clusters on it. Each cluster consists of a set of connected faces. At every iteration, two connected clusters are chosen according to these rules we define, and they...
The technique of plant modeling has received considerable attention in the computer vision and computer graphics. A system of digital plant modeling based on IFS (Iterated Function System) and Binary Tree Model coding is presented in this paper. First, 2D photos are adopted as the input to improve its practicability and efficiency. Then, the binary tree model is used as the topological structure of...
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