In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception

被引：9

作者：

Kawulok, Michal ^{[1
]}

Nalepa, Jakub ^{[1
]}

Nurzynska, Karolina ^{[1
]}

Smolka, Bogdan ^{[1
]}

机构：

[1] Silesian Tech Univ, Gliwice, Poland

来源：

ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2016 | 2016年 / 10022卷

关键词：

Affective computing; Face analysis; Facial expressions; Smile genuineness; Deception detection; Support vector machines; RECOGNITION;

D O I：

10.1007/978-3-319-47955-2_27

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Detection of deceptive facial expressions, including estimating smile genuineness, is an important and challenging research topic that draws increasing attention from the computer vision and pattern recognition community. The state-of-the-art methods require localizing a number of facial landmarks to extract sophisticated facial characteristics. In this paper, we explore how to exploit fast smile intensity detectors to extract temporal features. This allows for real-time discrimination between posed and spontaneous expressions at the early smile onset phase. We report the results of experimental validation, which indicate high competitiveness of our method for the UvA-NEMO benchmark database.

引用

页码：325 / 337

页数：13

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