%0 Journal Article
%T Bernoulli Embedding Model and Its Application in Texture Mapping
%A Hong-Xin Zhang
%A Ying Tang
%A Hui Zhao
%A Hu-Jun Bao
%A <br>Hong-Xin Zhang
%A Ying Tang
%A Hui Zhao
%A and Hu-Jun Bao
%J 计算机科学技术学报
%D 2006
%I 
%X A novel texture mapping technique is proposed based on nonlinear dimension reduction, called Bernoulli logistic embedding (BLE).Our probabilistic embedding model builds texture mapping with minimal shearing effects. A log-likelihood function, related to the Bregman distance, is used to measure the similarity between two related matrices defined over the spaces before and after embedding. Low-dimensional embeddings can then be obtained through minimizing this function by a fast block relaxation algorithm. To achieve better quality of texture mapping, the embedded results are adopted as initial values for mapping enhancement by stretch-minimizing. Our method can be applied to both complex mesh surfaces and dense point clouds.
%K dimension reduction
%K Bernoulli logistic embedding
%K texture mapping
%K parameterization<br>纹理映射
%K Bernoulli嵌入式模型
%K 逻辑似然函数
%K BLE
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=235AECB4ABADBD7123FF666BF644C430&yid=37904DC365DD7266&vid=659D3B06EBF534A7&iid=0B39A22176CE99FB&sid=FCD27DC5E1F2EEE7&eid=38685BC770C663F2&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=0&reference_num=31