We consider the problem of recognizing human actions from still images. We propose a novel approach that treats the pose of the person in the image as latent variables that will h...
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
Abstract. In recent years, 6 Degrees Of Freedom (DOF) Pose Estimation and 3D Mapping is becoming more important not only in the robotics community for applications such as robot na...
The paper is focused on the problem of pose estimation from a single view in minimum conditions that can be obtained from images. Under the assumption of known intrinsic parameters...
We propose a new robust estimator for camera pose estimation based on a recently developed nonlinear mean shift algorithm. This allows us to treat pose estimation as a clustering ...
Abstract. This paper describes a model-assisted system for reconstruction of 3D faces from a single consumer quality camera using a structure from motion approach. Typical multi-vi...
A new vision and inertial pose estimation system was implemented for real-time handheld augmented reality (AR). A sparse set of 3D cone fiducials are utilized for scalable indoor...
John Martin Steinbis, William A. Hoff, Tyrone L. V...
Pose estimation plays an essential role in many computer vision applications, such as human computer interaction (HCI), driver attentiveness monitoring, face recognition, automati...
In structure from motion, if two metric structures are given, the unknown scale between them can be resolved by constraining the rigidity of the metric space. There exist two well...
A method is introduced to track the object’s motion and estimate its pose from multiple cameras. Firstly pose estimation from one camera is explained. We show that pose estimati...