Pose Recognition for Tracker Initialization Using 3D Models
Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
In this thesis it is examined whether the pose of an object can be determined by a system trained with a synthetic 3D model of said object. A number of variations of methods using P-channel representation are examined. Reference images are rendered from the 3D model, features, such as gradient orientation and color information are extracted and encoded into P-channels. The P-channel representation is then used to estimate an overlapping channel representation, using B1-spline functions, to estimate a density function for the feature set. Experiments were conducted with this representation as well as the raw P-channel representation in conjunction with a number of distance measures and estimation methods.
It is shown that, with correct preprocessing and choice of parameters, the pose can be detected with some accuracy and, if not in real-time, fast enough to be useful in a tracker initialization scenario. It is also concluded that the success rate of the estimation depends heavily on the nature of the object.
Place, publisher, year, edition, pages
Institutionen för systemteknik , 2008. , 67 p.
Pose recognition, P-channels
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:liu:diva-11080ISRN: LiTH-ISY-EX--07/4076--SEOAI: oai:DiVA.org:liu-11080DiVA: diva2:17521
Subject / course
Computer Vision Laboratory
2008-01-23, Algoritmen, B-huset, Linköpings universitet, Linköping, 15:00 (English)