Abstract

We introduce a framework for outdoor photometric stereo utilizing natural environmental illumination. Our framework extends beyond existing photometric stereo methods intended for laboratory environments to encompass robust outdoor operation in the real world. In this paper, we motivate our framework, describe the components of its processing pipeline, and assess its performance in synthetic experiments as well as in natural experiments including objects in outdoor environments with complex real-world illuminations.

Keywords:
Pipeline (software) Computer science Photometric stereo Artificial intelligence Computer vision Natural (archaeology) Stereo cameras Computer graphics (images) Stereopsis Remote sensing Geology Geography Image (mathematics) Archaeology

Metrics

23
Cited By
3.38
FWCI (Field Weighted Citation Impact)
34
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design
3D Surveying and Cultural Heritage
Physical Sciences →  Earth and Planetary Sciences →  Geology

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