Estimating scene flow using an interconnected patch surface model with belief-propagation inference

نویسندگان

  • Thomas Popham
  • Abhir Bhalerao
  • Roland Wilson
چکیده

This article presents a novel method for estimating the dense three-dimensional motion of a scene from multiple cameras. Our method employs an interconnected patch model of the scene surfaces. The interconnected nature of the model means that we can incorporate prior knowledge about neighbouring scene motions through the use of a Markov Random Field, whilst the patchbased nature of the model allows the use of efficient techniques for estimating the local motion at each patch. An important aspect of our work is that the method takes account of the fact that local surface texture strongly dictates the accuracy of the motion that can be estimated at each patch. Even with simple squared-error cost functions, it produces results that are either equivalent to or better than results from a method based upon a state-of-the-art optical flow technique, which uses well-developed robust cost functions and energy minimisation techniques.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Scene Grammars, Factor Graphs, and Belief Propagation

We consider a class of probabilistic grammars for generating scenes with multiple objects. Probabilistic scene grammars capture relationships between objects using compositional rules that provide important contextual cues for inference with ambiguous data. We show how to represent the distribution defined by a probabilistic scene grammar using a factor graph. We also show how to efficiently pe...

متن کامل

Scene Interpretation: Unified Modeling of Visual Context by Particle-Based Belief Propagation in Hierarchical Graphical Model

In this paper, we present a novel scene interpretation method by unified modeling of visual context using a hierarchical graphical model. Scene interpretation through object recognition is difficult due to several sources of ambiguity (blur, clutter). We model the visual context of scene, object, and part to disambiguate them during recognition. A precisely designed hierarchical graphical model...

متن کامل

A Surface Water Evaporation Estimation Model Using Bayesian Belief Networks with an Application to the Persian Gulf

Evaporation phenomena is a effective climate component on water resources management and has special importance in agriculture. In this paper, Bayesian belief networks (BBNs) as a non-linear modeling technique provide an evaporation estimation  method under uncertainty. As a case study, we estimated the surface water evaporation of the Persian Gulf and worked with a dataset of observations ...

متن کامل

A Surface Water Evaporation Estimation Model Using Bayesian Belief Networks with an Application to the Persian Gulf

Evaporation phenomena is a effective climate component on water resources management and has special importance in agriculture. In this paper, Bayesian belief networks (BBNs) as a non-linear modeling technique provide an evaporation estimation  method under uncertainty. As a case study, we estimated the surface water evaporation of the Persian Gulf and worked with a dataset of observations ...

متن کامل

Inferring Human Upper Body Motion Using Belief Propagation

We present an algorithm for automatic inference of human upper body motion in a natural scene. A graph model is proposed for inferring human upper body motion, and motion inference is posed as a mapping problem between state nodes in the graph model and features in image patches. A multiple-frame inference algorithm is proposed to combine both structural and temporal constraints in human upper ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Computer Vision and Image Understanding

دوره 121  شماره 

صفحات  -

تاریخ انتشار 2014