Affiliation:
1. Microsoft Research Asia
2. The Hong Kong University of Science and Technology
Abstract
We present an interactive system for reconstructing surface normals from a single image. Our approach has two complementary contributions. First, we introduce a novel shape-from-shading algorithm (SfS) that produces faithful normal reconstruction for local image region (high-frequency component), but it fails to faithfully recover the overall global structure (low-frequency component). Our second contribution consists of an approach that corrects low-frequency error using a simple markup procedure. This approach, aptly called
rotation palette
, allows the user to specify large scale corrections of surface normals by drawing simple stroke correspondences between the normal map and a sphere image which represents rotation directions. Combining these two approaches, we can produce high-quality surfaces quickly from single images.
Funder
Research Grants Council, University Grants Committee, Hong Kong
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Graphics and Computer-Aided Design
Reference23 articles.
1. Agrawal A. Raskar R. and Chellappa R. 2006. What is the range of surface reconstructions from a gradient field? In ECCV06. http://www.umiacs.umd.edu/-aagrawal/eccv06/RangeofSurfaceReconstructions.html. 10.1007/11744023_45 Agrawal A. Raskar R. and Chellappa R. 2006. What is the range of surface reconstructions from a gradient field? In ECCV06. http://www.umiacs.umd.edu/-aagrawal/eccv06/RangeofSurfaceReconstructions.html. 10.1007/11744023_45
2. A method for enforcing integrability in shape from shading algorithms
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