NDLI: Modeling Images of Natural 3D Surfaces: Overview and Potential Applications

Content Provider	IEEE Xplore Digital Library
Author	Jalobeanu, A. Kuehnel, F.O. Stutz, J.C.
Copyright Year	2004
Description	Author affiliation: RIACS, NASA Ames Research Center, Moffett Field, CA (Jalobeanu, A.)
Abstract	Generative models of natural images have long been used in computer vision. However, since they only describe the statistics of 2D scenes, they fail to capture all the properties of the underlying 3D world. Even though such models are sufficient for many vision tasks, a 3D scene model is needed when it comes to inferring a 3D object or its characteristics. In this paper, we present such a generative model, incorporating both a multiscale surface prior model for surface geometry and reflectance, and an image formation process model based on realistic rendering, that accounts for the physics of image generation. We focus on the computation of the posterior model parameter densities, and on the critical aspects of the rendering. We also discuss how to efficiently invert the model within a Bayesian framework. We present a few potential applications, such as asteroid modeling and planetary topography recovery, illustrated by promising results on real images.
Starting Page	188
Ending Page	188
File Size	954784
Page Count	1
File Format	PDF
DOI	10.1109/CVPR.2004.398
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geometry Reflectivity Solid modeling Computer vision Layout Rendering (computer graphics) Surface topography Application software Statistics Physics
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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