H.3.2.2. Computer vision
Depth Improvement for FTV Systems Based on the Gradual Omission of Outliers

H. Hosseinpour; Seyed A. Moosavie nia; M. A. Pourmina

Volume 7, Issue 4 , November 2019, , Pages 563-574

http://dx.doi.org/10.22044/jadm.2019.7278.1864

Abstract
  Virtual view synthesis is an essential part of computer vision and 3D applications. A high-quality depth map is the main problem with virtual view synthesis. Because as compared to the color image the resolution of the corresponding depth image is low. In this paper, an efficient and confided method ...  Read More

H.3.2.2. Computer vision
A Pixon-based Image Segmentation Method Considering Textural Characteristics of Image

M. H. Khosravi

Volume 7, Issue 1 , January 2019, , Pages 27-34

http://dx.doi.org/10.22044/jadm.2017.5988.1706

Abstract
  Image segmentation is an essential and critical process in image processing and pattern recognition. In this paper we proposed a textured-based method to segment an input image into regions. In our method an entropy-based textured map of image is extracted, followed by an histogram equalization step ...  Read More

H.3.2.2. Computer vision
Camera Pose Estimation in Unknown Environments using a Sequence of Wide-Baseline Monocular Images

Seyyed A. Hoseini; P. Kabiri

Volume 6, Issue 1 , March 2018, , Pages 93-103

http://dx.doi.org/10.22044/jadm.2017.976

Abstract
  In this paper, a feature-based technique for the camera pose estimation in a sequence of wide-baseline images has been proposed. Camera pose estimation is an important issue in many computer vision and robotics applications, such as, augmented reality and visual SLAM. The proposed method can track captured ...  Read More

H.3.2.2. Computer vision
Isolated Persian/Arabic handwriting characters: Derivative projection profile features, implemented on GPUs

M. Askari; M. Asadi; A. Asilian Bidgoli; H. Ebrahimpour

Volume 4, Issue 1 , March 2016, , Pages 9-17

http://dx.doi.org/10.5829/idosi.JAIDM.2016.04.01.02

Abstract
  For many years, researchers have studied high accuracy methods for recognizing the handwriting and achieved many significant improvements. However, an issue that has rarely been studied is the speed of these methods. Considering the computer hardware limitations, it is necessary for these methods to ...  Read More