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Reflectance Estimation from Urban Terrestrial Images: Validation of a Symbolic Ray-tracing Method on Synthetic Data : Volume Xxxviii-3/W22, Issue 1 (26/04/2013)

By Coubard, F.

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Book Id: WPLBN0004017148
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Reflectance Estimation from Urban Terrestrial Images: Validation of a Symbolic Ray-tracing Method on Synthetic Data : Volume Xxxviii-3/W22, Issue 1 (26/04/2013)  
Author: Coubard, F.
Volume: Vol. XXXVIII-3/W22, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus Publications
Historic
Publication Date:
2013
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Paparoditis, N., Brédif, M., Briottet, X., & Coubard, F. (2013). Reflectance Estimation from Urban Terrestrial Images: Validation of a Symbolic Ray-tracing Method on Synthetic Data : Volume Xxxviii-3/W22, Issue 1 (26/04/2013). Retrieved from http://worldlibrary.in/


Description
Description: MATIS, Institut Géographique National, 73 avenue de Paris 94160 Saint Mandé, France. Terrestrial geolocalized images are nowadays widely used on the Internet, mainly in urban areas, through immersion services such as Google Street View. On the long run, we seek to enhance the visualization of these images; for that purpose, radiometric corrections must be performed to free them from illumination conditions at the time of acquisition. Given the simultaneously acquired 3D geometric model of the scene with LIDAR or vision techniques, we face an inverse problem where the illumination and the geometry of the scene are known and the reflectance of the scene is to be estimated. Our main contribution is the introduction of a symbolic ray-tracing rendering to generate parametric images, for quick evaluation and comparison with the acquired images. The proposed approach is then based on an iterative estimation of the reflectance parameters of the materials, using a single rendering pre-processing. We validate the method on synthetic data with linear BRDF models and discuss the limitations of the proposed approach with more general non-linear BRDF models.

Summary
REFLECTANCE ESTIMATION FROM URBAN TERRESTRIAL IMAGES: VALIDATION OF A SYMBOLIC RAY-TRACING METHOD ON SYNTHETIC DATA

 

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