Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The state-of-the-art photometric stereo (PS) methods typically apply shading cues on each vertex and represent a vertex normal as a non-linear function of its neighboring vertices. Such vertex-based representation leads to huge computational cost and limits it from processing dense meshes. ,  propose a PS based surface reconstruction using mesh face based representation. In particular,  propose to apply the shading cue on each mesh face instead of each vertex and optimize face normals instead of vertex normals.  develop a two-step approach to solve the surface recovery problem, where  first optimize face normals using shading cues and then update vertices by the optimized face normals. Experimental results show that, compared with the state-of-the-art, such a two-step approach is able to reduce the runtime significantly as ll as handling much denser meshes.
['Di Xu', 'Jianfei Cai', 'Jianmin Zheng', 'Juyong Zhang']
I am writing a research paper on a idea Photometric stereo using mesh face based optimization
[{"from": "human", "value": "I am writing a research paper on a idea Photometric stereo using mesh face based optimization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The state-of-the-art photometric stereo (PS) methods typically apply shading cues on each vertex and represent a vertex normal as a non-linear function of its neighboring vertices. Such vertex-based representation leads to huge computational cost and limits it from processing dense meshes. ,  propose a PS based surface reconstruction using mesh face based representation. In particular,  propose to apply the shading cue on each mesh face instead of each vertex and optimize face normals instead of vertex normals.  develop a two-step approach to solve the surface recovery problem, where  first optimize face normals using shading cues and then update vertices by the optimized face normals. Experimental results show that, compared with the state-of-the-art, such a two-step approach is able to reduce the runtime significantly as ll as handling much denser meshes."}]