Add to ORKGA new 3D face representation and recognition approach is presented in this paper. Two sets of facial curves are extracted from a face range image, and a novel facial feature representation, the affine integral invariant, is introduced to mitigate the effect of pose on the facial curves. A human face is shown to be representable by a small subset of those affine integral invariant curves. A recognition procedure based on the Discriminant Analysis and Jensen-Shannon Divergence analysis is proposed. Substantiating examples are provided with an achieved classification accuracy of 92.57%
Abstract. 3D image data provide several advantages than 2D data for face recognition and overcome ma...
A generic, transform invariant 3D facial feature detection method based on mean (H) and Gaussian (K)...
Abstract. We propose new robust classification algorithms for planar and spatial curves subjected to...
A new 3D face representation and recognition approach is presented in this paper. Two sets of facial...
Recognition. (Under the direction of Professor Hamid Krim). Curves are important features in compute...
We present a novel 3D face recognition approach based on geometric invariants introduced by Elad and...
Stemming from a sound mathematical framework dating back to the beginning of the 20th century, this ...
Stemming from a sound mathematical framework dating back to the begin-ning of the 20th century, this...
We present a systematic procedure for selecting facial fiducial points associated with diverse struc...
Face recognition (FR) is the preferred mode of identity recognition by humans: It is natural, robust...
A subject area is analyzed and the topicality of the problem of face recognition is shown. Methods f...
In addition to facial textures, manifested in facial images, shapes of facial surfaces are also impo...
The discriminating power of three dimensional (3D) descriptors extracted from 3D human face surfaces...
This article introduces a novel method for 3D object recognition, which utilizes well-known local fe...
Face recognition research using automatic or semi-automatic techniques has emerged over the last two...
Abstract. 3D image data provide several advantages than 2D data for face recognition and overcome ma...
A generic, transform invariant 3D facial feature detection method based on mean (H) and Gaussian (K)...
Abstract. We propose new robust classification algorithms for planar and spatial curves subjected to...
A new 3D face representation and recognition approach is presented in this paper. Two sets of facial...
Recognition. (Under the direction of Professor Hamid Krim). Curves are important features in compute...
We present a novel 3D face recognition approach based on geometric invariants introduced by Elad and...
Stemming from a sound mathematical framework dating back to the beginning of the 20th century, this ...
Stemming from a sound mathematical framework dating back to the begin-ning of the 20th century, this...
We present a systematic procedure for selecting facial fiducial points associated with diverse struc...
Face recognition (FR) is the preferred mode of identity recognition by humans: It is natural, robust...
A subject area is analyzed and the topicality of the problem of face recognition is shown. Methods f...
In addition to facial textures, manifested in facial images, shapes of facial surfaces are also impo...
The discriminating power of three dimensional (3D) descriptors extracted from 3D human face surfaces...
This article introduces a novel method for 3D object recognition, which utilizes well-known local fe...
Face recognition research using automatic or semi-automatic techniques has emerged over the last two...
Abstract. 3D image data provide several advantages than 2D data for face recognition and overcome ma...
A generic, transform invariant 3D facial feature detection method based on mean (H) and Gaussian (K)...
Abstract. We propose new robust classification algorithms for planar and spatial curves subjected to...
