Multiple comparison procedures
Multiple comparison procedures
A Method for Enforcing Integrability in Shape from Shading Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Depth and shape from shading using the photometric stereo method
CVGIP: Image Understanding
A signal-processing framework for inverse rendering
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Specularities Reduce Ambiguity of Uncalibrated Photometric Stereo
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Recent Methods for Image-Based Modeling and Rendering
VR '03 Proceedings of the IEEE Virtual Reality 2003
Estimating Parameters of an Illumination Model for the Synthesis of Specular Surface Textures
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
Capture and Synthesis of 3D Surface Texture
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Surface Determination by Photometric Ranging
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 3 - Volume 03
An Algebraic Approach to Surface Reconstruction from Gradient Fields
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Automatic correction of non-uniform illumination for 3D surface heightmap reconstruction
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Photometric stereo using LCD displays
Image and Vision Computing
Shape and Spatially-Varying BRDFs from Photometric Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D face reconstructions from photometric stereo using near infrared and visible light
Computer Vision and Image Understanding
Capture and fusion of 3d surface texture
Multimedia Tools and Applications
What is the range of surface reconstructions from a gradient field?
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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Since three-dimensional surface texture can display texture information of an object better than its two-dimensional counterpart and can vary with scene illumination and the view angles, it is widely used in virtual reality, computer games and animation applications. Photometric Stereo, as one of the most effective technologies for capturing three-dimensional surface information, has attracted wide attention both from academic researchers and industrial fields. Uniform illumination is the essential condition for capturing and reconstructing surface heightmaps. In practice, non-uniform illumination leads to distorted surface heightmaps, such as distortion and aberration during the capture and reconstruction processes. This paper proposes and assesses a fast and self-adaptive method based on inverse-square law to correct non-uniform illumination for reconstruction of 3D surface heightmaps, and to eliminate the distortions. In order to objectively assess the performance of the illumination correction algorithm, average absolute gradient (AAG) is proposed to compare the surface heightmaps reconstructed using corrected illumination with those reconstructed without illumination correction. Experimental results show that the method is efficient and can produce convincing results.