The traditional visual SLAM systems take the monocular or stereo camera as input sensor,
with complex map initialization and map point triangulation steps needed for 3D map …

This paper is aimed at calibrating the relative posture and position, ie extrinsic parameters,
of a stationary camera against a 3D reference object which is not directly visible from the …

In recent years, a collection of new techniques which deal with video as input data, emerged
in computer graphics and visualization. In this survey, we report the state of the art in video …

We propose a new markerless shape and motion capture approach from multiview video
sequences. The shape recovery method consists of two steps: separating and merging. In …

We present a novel approach to free-viewpoint video. Our main contribution is the
formulation of a hybrid approach between image morphing and depth-image based …

Existing systems for 3-D reconstruction from multiple view video use controlled indoor
environments with uniform illumination and backgrounds to allow accurate segmentation of …

We present a novel global non-rigid registration method for dynamic 3D objects. Our method
allows objects to undergo large non-rigid deformations and achieves high-quality results …

This paper proposes a method to compute camera 6 DoF poses to achieve a user defined
coverage. The camera placement problem is modeled as a combinatorial optimization …

A new problem of automatically designing an optimal stereo vision system using two omni-
directional catadioptric cameras to yield the highest 3-D data accuracy is studied. Factors of …

In this paper, we propose the novel 3D reconstruction framework, where the surface of a
target object is reconstructed accurately and robustly from multi-view depth maps. A depth …