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ACCV
2006
Springer
15 years 10 months ago
Probabilistic Modeling for Structural Change Inference
We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3rd dimension. We propose two com...
Wei Liu, Véronique Prinet
131
Voted
ICRA
2005
IEEE
158views Robotics» more  ICRA 2005»
15 years 9 months ago
Ball Detection and Predictive Ball Following Based on a Stereoscopic Vision System
— In this paper we describe an efficient software architecture for object-tracking, based on a stereoscopic vision system, that has been applied to a mobile robot controlled by ...
Davide Scaramuzza, Stefano Pagnottelli, Paolo Vali...
143
Voted
EMMCVPR
2005
Springer
15 years 9 months ago
Probabilistic Subgraph Matching Based on Convex Relaxation
We present a novel approach to the matching of subgraphs for object recognition in computer vision. Feature similarities between object model and scene graph are complemented with ...
Christian Schellewald, Christoph Schnörr
ECCV
2010
Springer
15 years 9 months ago
Graph Cut based Inference with Co-occurrence Statistics
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
ICDAR
2003
IEEE
15 years 9 months ago
Word Segmentation of Handwritten Dates in Historical Documents by Combining Semantic A-Priori-Knowledge with Local Features
The recognition of script in historical documents requires suitable techniques in order to identify single words. Segmentation of lines and words is a challenging task because lin...
Markus Feldbach, Klaus D. Tönnies