nips nips2006 nips2006-110 nips2006-110-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Florian Steinke, Volker Blanz, Bernhard Schölkopf
Abstract: Establishing correspondence between distinct objects is an important and nontrivial task: correctness of the correspondence hinges on properties which are difficult to capture in an a priori criterion. While previous work has used a priori criteria which in some cases led to very good results, the present paper explores whether it is possible to learn a combination of features that, for a given training set of aligned human heads, characterizes the notion of correct correspondence. By optimizing this criterion, we are then able to compute correspondence and morphs for novel heads. 1
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