Probabilistic Search for Object Segmentation and Recognition

Abstract

The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range data of the scene. A new statistical criterion, the truncated object probability, is introduced to infer an optimal sequence of object hypotheses to be evaluated for their match to the data… (More)
DOI: 10.1007/3-540-47977-5_52

Topics

4 Figures and Tables

Slides referencing similar topics