H.6.5.2. Computer vision
1. Camera Arrangement in Visual 3D Systems using Iso-disparity Model to Enhance Depth Estimation Accuracy

M. Karami; A. Moosavie nia; M. Ehsanian

Volume 8, Issue 1 , Winter 2020, , Pages 1-12

Abstract
  In this paper we address the problem of automatic arrangement of cameras in a 3D system to enhance the performance of depth acquisition procedure. Lacking ground truth or a priori information, a measure of uncertainty is required to assess the quality of reconstruction. The mathematical model of iso-disparity ...  Read More

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

Seyyed A. Hoseini; P. Kabiri

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

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