𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Robust estimation of 3D trajectories from a monocular image sequence

✍ Scribed by Chung-Yi Chan Pang; Andrés R. Guesalaga; Valentín Obac Roda

Publisher
John Wiley and Sons
Year
2002
Tongue
English
Weight
514 KB
Volume
12
Category
Article
ISSN
0899-9457

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

This article describes a new method for object trajectory estimation that uses sequences of images taken from a monocular camera. The method integrates a Kalman filter to estimate the three‐dimensional (3D) parameters of the optical system and a lineal projective model to determine 3D point coordinates projected on the retinal plane. It works with at least three distinctive points in the image, and they are updated with correlation methods. The result is an estimation of the rotation and translation parameters between successive images within the sequence and yield to the 3D coordinates of the points selected for correspondence. The scaling problem related to 3D reconstruction is tackled via a priori information of the objects being observed. The method is tested with synthetic images to evaluate its accuracy, and later, an interesting application in autonomous navigation is presented. © 2002 Wiley Periodicals, Inc. Int J Imaging Syst Technol 12, 128–137, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.10020

📜 SIMILAR VOLUMES

Robust Motion Estimation for Calibrated
Robust Motion Estimation for Calibrated Cameras from Monocular Image Sequences
✍ Robert Wagner; Feiyu Liu; Klaus Donner 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 268 KB

A new computational approach to estimate the ego-motion of a camera from sets of point correspondences taken from a monocular image sequence is presented. The underlying theory is based on a decomposition of the complete set of model parameters into suitable subsets to be optimized separately; e.g.,

Depth estimation from a sequence of mono
Depth estimation from a sequence of monocular images with known camera motion
✍ Hanqi Zhuang; R. Sudhakar; Jen-yu Shieh 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 699 KB

This paper reports an approach of computing depth maps from a monocular image sequence, under the assumption that the camera motion is known. The direct depth estimation method is combined with the optical flow based method to improve estimation accuracy. The optical flow on and near moving edges ar

3D Face pose estimation and tracking fro
3D Face pose estimation and tracking from a monocular camera
✍ Qiang Ji 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 546 KB

In this paper, we describe a new approach for estimating and tracking three-dimensional (3D) pose of a human face from the face images obtained from a single monocular view with full perspective projection. We assume that the shape of a 3D face can be approximated by an ellipse and that the aspect r

Estimation of 3D structure and motion fr
Estimation of 3D structure and motion from image corners
✍ Yuncai Liu; Xiaoyun Zhang; Thomas S. Huang 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 221 KB

This paper deals with motion estimation from image corner correspondences in two cases: the orthogonal corner and the general corner with known space angles. The contribution of the paper is in three folds: First, the three-dimensional structure of a corner is recovered easily from its image by intr