IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Geometry and photometry in three-dimensional visual recognition
Geometry and photometry in three-dimensional visual recognition
Object-centered surface reconstruction: combining multi-image stereo and shading
International Journal of Computer Vision
What Is the Set of Images of an Object Under All Possible Illumination Conditions?
International Journal of Computer Vision
Hyperpatches for 3D Model Acquisition and Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robot Vision
Geotensity: Combining Motion and Lighting for 3D Surface Reconstruction
International Journal of Computer Vision
3D Model Acquisition from Extended Image Sequences
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Constructing Illumination Image Basis from Object Motion
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Stereo in the presence of specular reflection
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
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
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We present a new scheme for 3D surface reconstruction of a moving object in the presence of specular reflection. We basically search for the depth at each point on the surface of the object while exploiting the recently proposed geotensity constraint [7] that accurately governs the relationship between four or more images of a moving object in spite of the illumination variance due to object motion. The thrust of this paper is then to extend the availability of the geotensity constraint to the case that specularities are also present. The key idea is to utilise the fact that highlights shift on the surface due to object motion. I.e., we employ five or more images as inputs, and interchangeably utilise a certain intensity subset consisting of four projected intensities which is the least influenced by the specular component. We illustrate the relevancy of our simple algorithm also through experiments.