Motivated by this fact, we proposed a novel self-intersection penalty term for statistical body shape models applied in 3D pose estimation.To avoid the trouble of computing self-intersection for complex surfaces like the body meshes, the gradient of our proposed self-intersection penalty term is manually derived from the perspective of geometry.Tags: Three Words That Describe Critical ThinkingAccess Courses For Social WorkBusiness Plan ActivityAutobiographical Essays For Graduate SchoolMba Dissertation On Tourism And SecurityIntermediate 2 Discursive Essay PlanGraduation Essays For 8th GradeGood Mba Admission EssaysChick Fil A Business PlanNew Essays On Hemingway Short Fiction
Simple criteria for eliminating weights from the network are also given.
The effectiveness of this penalty function is tested on three well-known problems: the…
The penalty function proposed consists of two terms.
The first term is to discourage the use of unnecessary connections, and the second term is to prevent the weights of the connections from taking excessively large values.
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Qualitative and quantitative evaluations were conducted to demonstrate the effectiveness and generality of our proposed method compared with previous approaches.
The experimental results show that our proposed penalty term can avoid self-intersection to exclude unreasonable predictions and improves the accuracy of 3D pose estimation indirectly.