نتایج جستجو برای: facial image

تعداد نتایج: 430304  

1998
Takahiro Ishikawa Hajime Sera Shigeo Morishima Demetri Terzopoulos

Muscle based face image synthesis is one of the most realistic approach to realize life-like agent in computer. Facial muscle model is composed of facial tissue elements and muscles. In this model, forces are calculated effecting facial tisssue element by contraction of each muscle strength, so the combination of each muscle parameter decide a specific facial expression. Now each muscle paramet...

2013
Md. Hafizur Rahman Suman Chowdhury Md. Abul Bashar

This paper presents combined face detection and gender classification method of discriminating between faces of men and women. This is done by detecting the human face area in image given and detecting facial features based on the measurements in pixels. The proposed algorithm converts the RGB image into the YCbCr color space to detect the skin regions from the facial image. But in order to det...

Journal: :CoRR 2014
D. Johnvictor G. Selvavinayagam

Content based image retrieval, a technique which uses visual contents of image to search images from large scale image databases according to users' interests. This paper provides a comprehensive survey on recent technology used in the area of content based face image retrieval. Nowadays digital devices and photo sharing sites are getting more popularity, large human face photos are available i...

Journal: :CoRR 2012
Chao Wang

Automatic head frontal-view identification is challenging due to appearance variations caused by pose changes, especially without any training samples. In this paper, we present an unsupervised algorithm for identifying frontal view among multiple facial images under various yaw poses (derived from the same person). Our approach is based on Locally Linear Embedding (LLE), with the assumption th...

Journal: :EURASIP Journal on Image and Video Processing 2015

2012
Tomohiko Fujita Takuya Funatomi Yoshitaka Morimura Michihiko Minoh

To achieve privacy protection on facial image retrieval systems, we propose a method of encrypting facial images with a key produced from facial features. Because facial features vary even for the same person, it is not recommended to use facial features as the cryptographic key. Therefore, we propose a method for generating a key by quantizing the facial features based on entropy. In our exper...

Journal: :Psychonomic Bulletin & Review 2013

Journal: :International Journal of Research in Engineering and Technology 2013

Journal: :IEEJ Transactions on Electronics, Information and Systems 2002

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