Depth and shape from shading using the photometric stereo method
CVGIP: Image Understanding
On Photometric Issues in 3D Visual Recognition from aSingle 2D Image
International Journal of Computer Vision
What Is the Set of Images of an Object Under All Possible Illumination Conditions?
International Journal of Computer Vision
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
A signal-processing framework for inverse rendering
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
An efficient representation for irradiance environment maps
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Principal Component Analysis with Missing Data and Its Application to Polyhedral Object Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lambertian Reflectance and Linear Subspaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Based on Fitting a 3D Morphable Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Appearance Sampling for Obtaining A Set of Basis Images for Variable Illumination
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Dense Shape Reconstruction of a Moving Object under Arbitrary, Unknown Lighting
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Reflectance Estimation from Motion under Complex Illumination
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Object recognition based on photometric alignment using ransac
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Spherical harmonic gradients for mid-range illumination
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
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Shading analysis of an object under near lighting is not an easy task, because the direction and distance of the light source vary over the surface of the object. Observing a small area on the surface, however, techniques assuming far lighting are applicable, because variations of the direction and distance are small in the area. In this paper, we present two contributions to image segmentation for approximating object’s appearance under near light sources. First, we experimentally evaluate the accuracy of approximations using rectangular segmentation for images of objects under near light sources, and confirm the effects of image segmentation itself. Second, we propose a novel segmentation method for approximating images under near light sources. Our proposed method plans appropriate segmentations in terms of approximation accuracy, considering properties of objects and variable illumination conditions.