CAD model based virtual assembly simulation, planning and training

MC Leu, HA ElMaraghy, AYC Nee, SK Ong, M Lanzetta… - CIRP annals, 2013 - Elsevier
This paper reviews the state-of-the-art methodologies for develo** computer-aided design
(CAD) model based systems for assembly simulation, planning and training. Methods for …

[HTML][HTML] Human pose estimation from monocular images: A comprehensive survey

W Gong, X Zhang, J Gonzàlez, A Sobral, T Bouwmans… - Sensors, 2016 - mdpi.com
Human pose estimation refers to the estimation of the location of body parts and how they
are connected in an image. Human pose estimation from monocular images has wide …

[PDF][PDF] MoSh: motion and shape capture from sparse markers.

M Loper, N Mahmood, MJ Black - ACM Trans. Graph., 2014 - academia.edu
Marker-based motion capture (mocap) is widely criticized as producing lifeless animations.
We argue that important information about body surface motion is present in standard …

A survey on shape correspondence

O Van Kaick, H Zhang, G Hamarneh… - Computer graphics …, 2011 - Wiley Online Library
We review methods designed to compute correspondences between geometric shapes
represented by triangle meshes, contours or point sets. This survey is motivated in part by …

Articulated mesh animation from multi-view silhouettes

D Vlasic, I Baran, W Matusik, J Popović - Acm Siggraph 2008 papers, 2008 - dl.acm.org
Details in mesh animations are difficult to generate but they have great impact on visual
quality. In this work, we demonstrate a practical software system for capturing such details …

Performance capture from sparse multi-view video

E De Aguiar, C Stoll, C Theobalt, N Ahmed… - ACM SIGGRAPH 2008 …, 2008 - dl.acm.org
This paper proposes a new marker-less approach to capturing human performances from
multi-view video. Our algorithm can jointly reconstruct spatio-temporally coherent geometry …

Motion capture using joint skeleton tracking and surface estimation

J Gall, C Stoll, E De Aguiar, C Theobalt… - … IEEE Conference on …, 2009 - ieeexplore.ieee.org
This paper proposes a method for capturing the performance of a human or an animal from
a multi-view video sequence. Given an articulated template model and silhouettes from a …

Human pose estimation from video and imus

T Von Marcard, G Pons-Moll… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
In this work, we present an approach to fuse video with sparse orientation data obtained
from inertial sensors to improve and stabilize full-body human motion capture. Even though …

Dynamic shape capture using multi-view photometric stereo

D Vlasic, P Peers, I Baran, P Debevec… - ACM SIGGRAPH Asia …, 2009 - dl.acm.org
We describe a system for high-resolution capture of moving 3D geometry, beginning with
dynamic normal maps from multiple views. The normal maps are captured using active …

Detailed human shape and pose from images

AO Balan, L Sigal, MJ Black, JE Davis… - … IEEE Conference on …, 2007 - ieeexplore.ieee.org
Much of the research on video-based human motion capture assumes the body shape is
known a priori and is represented coarsely (eg using cylinders or superquadrics to model …