PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Accumulation of Different Visual Feature Descriptors in a Coherent Framework
Jeppe B. Jessen, Florian Pilz, Dirk Kraft, Nicolas Pugeault and Norbert Krueger
In: Scandinavian Conference on Image Analysis (SCIA) 2011(2011).


We present a temporal accumulation scheme which disambiguates different kinds of visual 3D descriptors within one coherent framework. The accumulation consists of a twofold process: First, by means of a Bayesian filtering outliers become eliminated and second, the precision of the extracted information becomes enhanced by means of an unscented Kalman filtering process. It is a particular property of our algorithm to be able to deal with different kinds of visual descriptors by the very same mechanism. We show quantitative and qualitative results.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Theory & Algorithms
ID Code:9037
Deposited By:Nicolas Pugeault
Deposited On:21 February 2012