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3-D models merging based on cost optimization

Model merging is growing to be of great need with the development of 3D modeling and incremental manufacturing. Most current solutions for model merging are by hand. Researches in automatic merging only work in their own simple merging scenarios. This paper looks at the merging problem from a cost optimization perspective. The merged model is re-described by parameters, and requirements of the model, such as smoothness, geometric features and mechanical restriction, are described as a cost function. A framework, Cost Optimization Framework (COF) is presented based on this cost optimization approach. This framework is automatic and flexible. It is applied to a face merging task and achieved promising results.