3D fluoroscopic image estimation using patient-specific 4DCBCT-based motion models

Image-Based Markerless 3d Human Motion Capture using Multiple Cues

3D Hand Motion Evaluation Using HMM

Gesture and motion recognition are needed for a variety of applications. The use of human hand motions as a natural interface tool has motivated researchers to conduct research in the modeling, analysis and recognition of various hand movements. In particular, human-computer intelligent interaction has been a focus of research in vision-based gesture recognition. In this work, we introduce a 3-...

3D Motion Estimation using a Token Tracker

111 1.11is u t i c l e we descr ibe the i ~ ~ ~ p l e t ~ ~ e ~ ~ t a t i u ~ ~ o f a sys tem l e v 1 1r.11 k i n g t c ~ k e l ~ s o n a sequence o f perspective v iews a n d use IIIV res111t t o c o n ~ p u t e the YL) ~ n o t i o ~ ~ f a cantera a n d t h e 3D -1 I 11, I u r r ul' the scene ( u p l o a scirle factur) . Wt. ~ w o v ~ d e t i rs t a l l overv iew u f the ent i re process fo r ...

Model-Based Estimation of 3D Human Motion

ÐThis paper presents the formulations and techniques that we have developed for the three-dimensional, model-based, motion estimation of human movement from multiple cameras. Our method is based on the spatio-temporal analysis of the subject's silhouette and it has the advantage that the subject does not have to wear markers or other devices. We present tracking results from experiments involvi...

3D Motion Estimation of Carpal Bones from Single View Fluoroscopic Sequences

We present a novel framework for inferring 3D carpal bone kinematics and bone shapes from a single view fluoroscopic sequence. A hybrid statistical model representing both the kinematics and shape variation of the carpal bones is built, based on a number of 3D CT data sets obtained from different subjects at different poses. Given a fluoroscopic sequence, the wrist pose, carpal bone kinematics ...