Deformable 3D Shape Matching to Try on Virtual Clothes via Laplacian-Beltrami Descriptor

H. Fathi; A.R. Ahmadyfard; H. Khosravi

Volume 10, Issue 1 , January 2022, , Pages 63-74

http://dx.doi.org/10.22044/jadm.2021.10749.2212

Abstract
  Recently, significant attention has been paid to the development of virtual reality systems in several fields such as commerce. Trying on virtual clothes is becoming a solution for the online clothing industry. In this paper, we propose a method for the problem of virtual clothing using 3D point matching ...  Read More

H.6. Pattern Recognition
Holistic Farsi handwritten word recognition using gradient features

Z. Imani; Z. Ahmadyfard; A. Zohrevand

Volume 4, Issue 1 , March 2016, , Pages 19-25

http://dx.doi.org/10.5829/idosi.JAIDM.2016.04.01.03

Abstract
  In this paper we address the issue of recognizing Farsi handwritten words. Two types of gradient features are extracted from a sliding vertical stripe which sweeps across a word image. These are directional and intensity gradient features. The feature vector extracted from each stripe is then coded using ...  Read More

Classification of emotional speech using spectral pattern features

Ali Harimi; Ali Shahzadi; Alireza Ahmadyfard; Khashayar Yaghmaie

Volume 2, Issue 1 , March 2014, , Pages 53-61

http://dx.doi.org/10.22044/jadm.2014.150

Abstract
  Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound. In this study, we propose Spectral Pattern features (SPs) and Harmonic ...  Read More