Earticle

초록

영어

This paper presents a hierarchical deformable model for robust human face detection, especially with occlusions and under low resolution. By parsing, we mean inferring the parse tree (a configuration of the proposed hierarchical model) for each face instance. In modeling, a three-layer hierarchical model is built consisting of six nodes. For each node, an active basis model is trained, and their spatial relations such as relative locations and scales are modeled using Gaussian distributions. In computing, we run the learned active basis models on testing images to obtain bottom-up hypotheses, followed by explicitly testing the compatible relations among those hypotheses to do verification and construct the parse tree in a top-down manner. In experiments, we test our approach on CMU+MIT face test set with improved performance obtained.

목차

Abstract
 I. INTRODUCTION
 II. GRAPH MODEL FOR FACE IN HIERARCHY
 III. ACTIVE BASIS MODEL
 IV. PROBLEM FORMULATION
 V. TWO COMPUTING PROCESSES IN HIERARCHICAL MODEL
 VI. EXPERIMENTAL PROCEDURE AND RESULTS
 REFERENCES

키워드

저자

• Xiong Yang [ Dept. of Computer Science Huizhou University Huizhou, China ]
• Gang Peng [ Dept. of Computer Science Huizhou University Huizhou, China ]
• Zhaoquan Cai [ Dept. of Computer Science Huizhou University Huizhou, China ]
• Kehan Zeng [ Dept. of Computer Science Huizhou University Huizhou, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JoC [Journal of Convergence]

• 간기

  계간

• pISSN

  2093-7741

• eISSN

  2093-775X

• 수록기간

  2010~2015

• 십진분류

  KDC 004 DDC 004