This paper addresses the problem of motion estimation and reconstruction of 3D models from profiles of an object rotating on a turntable, obtained from a single camera. Its main contribution is the development of a practical and accurate technique for solving this problem from profiles alone, which is, for the first time, precise enough to allow the reconstruction of the object. No corresponden...

We propose a method for object recognition in an unconstrained condition. This includes wide range of illumination, unknown view points and complicated background. We simpliied the general problem by placing special design patterns (Tsaii1]'s camera calibration chart) on the object that allows us to solve the pose determination problem easily. After establishing the methodological framework, we...

Correspondences between 3D lines and their 2D images captured by a camera are often used to determine position and orientation of the camera in space. In this work, we propose a novel algebraic algorithm to estimate the camera pose. We parameterize 3D lines using Plücker coordinates that allow linear projection of the lines into the image. A line projection matrix is estimated using Linear Leas...

This paper focuses on pose estimation of 3D object from 2D images. The base system of Structure from Motion is applied. A 3D model with feature points and descriptors is prebuilt. 3D-2D matching is employed in recognition and pose estimation process. The method of pairwise correspondence is proposed. To reduce reprojection error of the model, a weighting step is added. Viewpoint change of camer...

Driver’s visual attention provides important clues about his/ her activities and awareness. To monitor driver’s awareness, this paper proposes a real-time person-independent head tracking and pose estimation system using a monochromatic camera. The tracking and head-pose estimation tasks are formulated as regression problems. Three regression methods are proposed: (i) individual mapping on imag...

The mainstream image matching method for recovering the motion of camera is based on local feature matching, which faces challenges rotation, illumination, and presence dynamic objects. In addition, relies distance between descriptors, easily leads to lots mismatches. this paper, we propose a new robust pose estimation, called IM_CPE. It novel descriptor combined with 3-D point clouds matching....