Bayesian Inference in Model-Based Machine Vision

Thomas O. Binford; Tod S. Levitt; Wallace B. Mann

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arXiv · 1304.2720

Bayesian Inference in Model-Based Machine Vision

Thomas O. Binford·Tod S. Levitt·Wallace B. Mann

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Abstract

This is a preliminary version of visual interpretation integrating multiple sensors in SUCCESSOR, an intelligent, model-based vision system. We pursue a thorough integration of hierarchical Bayesian inference with comprehensive physical representation of objects and their relations in a system for reasoning with geometry, surface materials and sensor models in machine vision. Bayesian inference provides a framework for accruing_ probabilities to rank order hypotheses.

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Thomas O. Binford, Tod S. Levitt, Wallace B. Mann. 2013-03-27. Bayesian Inference in Model-Based Machine Vision. https://arxiv.org/abs/1304.2720

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