Determining Pose of Intertwisting Human Bodies from Multiple Camera Views

Distributed Pose Estimation from Multiple Views

A method is introduced to track the object’s motion and estimate its pose from multiple cameras. We focus on direct estimation of the 3D pose from 2D image sequences. We derive a distributed solution that is equivalent to the centralized pose estimation from multiple cameras. Moreover, we show that, by using a proper rotation between each camera and a fixed camera view, we can rely on independe...

Camera Self - Calibration from Multiple Views

Integration of Probabilistic Pose Estimates from Multiple Views

We propose an approach to multi-view object detection and pose estimation that considers combinations of single-view estimates. It can be used with most existing single-view pose estimation systems, and can produce improved results even if the individual pose estimates are incoherent. The method is introduced in the context of an existing, probabilistic, view-based detection and pose estimation...

Physics-Based Object Pose and Shape Estimation from Multiple Views

This paper presents a new algorithm for object pose and shape estimation from multiple views. Using a qualitative shape recovery scheme we first segment the image into parts which belong to a vocabulary of primitives. Based on the additional constraints provided by the qualitative shapes we extend our physics-based framework to allow object pose and shape estimation from stereo images where the...

3D Head Pose Estimation from Multiple Distant Views

A method for human head pose estimation in multicamera environments is proposed. The method computes the textured visual hull of the subject and unfolds the texture of the head on a hypothetical sphere around it, whose parameterization is iteratively rotated so that the face eventually occurs on its equator. This gives rise to a spherical image, in which face detection is simplified, because ex...