Optimal cascade construction for detection using 3D models

被引：0

作者：

Pong, Hon-Keat ^{[1
]}

Cham, Tat-Jen ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Comp Engn, Singapore, Singapore

来源：

18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, PROCEEDINGS | 2006年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We describe a method for optimal construction of a detection cascade comprising 3D models of increasing level-of-detail (LOD). An LOD 3D model hierarchy of the target object is first generated. By analyzing detection performance of each individual model in the LOD hierarchy, an optimization framework that allows trade-off between speed and accuracy is formulated. The formulation allows models to be explicitly selected for inclusion in the final detection cascade while achieving optimal running time with respect to a target detection performance.

引用

页码：808 / +

页数：2

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