Bayesian Inference in Model-Based Machine Vision

📝 Original Info

• Title: Bayesian Inference in Model-Based Machine Vision
• ArXiv ID: 1304.2720
• Date: 2013-04-11
• Authors: Researchers from original ArXiv paper

📝 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.

💡 Deep Analysis

Deep Dive into Bayesian Inference in Model-Based Machine Vision.

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.

📄 Full Content

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