Surface reconstruction from unorganized points
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Recovering photometric properties of architectural scenes from photographs
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
A practical analytic model for daylight
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Inverse global illumination: recovering reflectance models of real scenes from photographs
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Robot Vision
ACM SIGGRAPH 2005 Papers
Recovering Intrinsic Images from a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Scene completion using millions of photographs
ACM SIGGRAPH 2007 papers
ACM SIGGRAPH 2007 papers
A Closed-Form Solution to Natural Image Matting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Building Illumination Coherent 3D Models of Large-Scale Outdoor Scenes
International Journal of Computer Vision
Finding paths through the world's photos
ACM SIGGRAPH 2008 papers
ACM SIGGRAPH Asia 2008 papers
User-assisted intrinsic images
ACM SIGGRAPH Asia 2009 papers
Accurate, Dense, and Robust Multiview Stereopsis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Physically Based Rendering, Second Edition: From Theory To Implementation
Physically Based Rendering, Second Edition: From Theory To Implementation
PhotoCity: training experts at large-scale image acquisition through a competitive game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Intrinsic images decomposition using a local and global sparse representation of reflectance
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Intrinsic images using optimization
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
A Closed-Form Solution to Retinex with Nonlocal Texture Constraints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Intrinsic Images by Clustering
Computer Graphics Forum
Silhouette-aware warping for image-based rendering
EGSR'11 Proceedings of the Twenty-second Eurographics conference on Rendering
Progressively-refined reflectance functions from natural illumination
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
Estimation of intrinsic image sequences from image+depth video
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Optimizing color consistency in photo collections
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Data-driven hallucination of different times of day from a single outdoor photo
ACM Transactions on Graphics (TOG)
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An intrinsic image is a decomposition of a photo into an illumination layer and a reflectance layer, which enables powerful editing such as the alteration of an object's material independently of its illumination. However, decomposing a single photo is highly under-constrained and existing methods require user assistance or handle only simple scenes. In this paper, we compute intrinsic decompositions using several images of the same scene under different viewpoints and lighting conditions. We use multi-view stereo to automatically reconstruct 3D points and normals from which we derive relationships between reflectance values at different locations, across multiple views and consequently different lighting conditions. We use robust estimation to reliably identify reflectance ratios between pairs of points. From these, we infer constraints for our optimization and enforce a coherent solution across multiple views and illuminations. Our results demonstrate that this constrained optimization yields high-quality and coherent intrinsic decompositions of complex scenes. We illustrate how these decompositions can be used for image-based illumination transfer and transitions between views with consistent lighting.