The POSTECH face database (PF07) and performance evaluation

Lee, Hyoung-soo; Park, Sungsoo; Kang, Beom-mo; Shin, Jongju; Lee, Juyoung; Je, Hong-Mo; Jun, Bongjin; Kim, Daijin

doi:10.1109/afgr.2008.4813378

Cited by 15 publications

(2 citation statements)

References 12 publications

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“…• Method Facial images were obtained from the Oriental Face Database [23] and the Postech Face Database [24]. All faces in these databases are identified as Far East Asians.…”

Section: • Apparatus: Smartringmentioning

confidence: 99%

Constructing Impressions with Multimedia Ringtones and a Smartphone Usage Tracker

2015

KSII TIIS

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In this paper, we studied facial impression construction with smartphones in a series of experiments with two smartphone applications: SmartRing and SystemSens+. In the first experiment, impressions of faces associated with different music genres (trot vs. classical) were compared to impressions formed from a facial image alone along the social warmth and intelligence dimensions. In the second experiment, the effect of similarity attraction was investigated by manipulating the extroversion of facial images. Results indicated that impressions of faces cannot only be constructed along the social warmth and intelligence dimensions, but can also be made more or less attractive based on their similarity to the viewer's personality. Our experiments provide interesting insights into facial impressions formed in a smartphone environment.

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“…• Method Facial images were obtained from the Oriental Face Database [23] and the Postech Face Database [24]. All faces in these databases are identified as Far East Asians.…”

Section: • Apparatus: Smartringmentioning

confidence: 99%

Constructing Impressions with Multimedia Ringtones and a Smartphone Usage Tracker

2015

KSII TIIS

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“…The first performance evaluation method is based on algorithm using a lot of images [1]. Face recognition engine for test loads images from test DB ([6], [7], [8]) and detects face region from image and recognizes face. The detected region and recognized results are compared with ground truth.…”

Section: Introductionmentioning

confidence: 99%

A New Approach for Face Recognition Performance Evaluation for Robot Using LED Monitor

Cho

Jeong

Chun

2014

AMM

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With the increasing of service robots, human-robot interaction for natural communication between user and robot is becoming more and more important. Especially, face recognition is a key issue of HRI. Even though robots mainly use face detection and recognition to provide various services, it is still difficult to guarantee of performance due to insufficient test methods in point of view robot. So, we propose a new performance evaluation method for robot using LED monitor.

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EM-GPA: Generalized Procrustes analysis with hidden variables for 3D shape modeling

Cho

Lee

Choi

et al. 2013

Computer Vision and Image Understanding

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The POSTECH face database (PF07) and performance evaluation

Cited by 15 publications

References 12 publications

Constructing Impressions with Multimedia Ringtones and a Smartphone Usage Tracker

Constructing Impressions with Multimedia Ringtones and a Smartphone Usage Tracker

A New Approach for Face Recognition Performance Evaluation for Robot Using LED Monitor

EM-GPA: Generalized Procrustes analysis with hidden variables for 3D shape modeling

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