Object shape and reflectance modeling from observation
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Image-based rendering of diffuse, specular and glossy surfaces from a single image
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Object shape and reflectance modeling from observation
Modelling from reality
Illumination distribution from shadows
Modelling from reality
IEEE Transactions on Pattern Analysis and Machine Intelligence
Kaleidoscope configurations for reflectance measurement
AFRIGRAPH '04 Proceedings of the 3rd international conference on Computer graphics, virtual reality, visualisation and interaction in Africa
Generic Scene Recovery Using Multiple Images
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Joint Estimation of Shape and Reflectance using Multiple Images with Known Illumination Conditions
International Journal of Computer Vision
International Journal of Computer Vision
Median Photometric Stereo as Applied to the Segonko Tumulus and Museum Objects
International Journal of Computer Vision
Multiple textures stitching and blending on 3D objects
EGWR'99 Proceedings of the 10th Eurographics conference on Rendering
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We describe a technique for surface recovery of a rotating object illuminated under a collinear light source (where the light source lies on or near the optical axis). We show that the surface reflectance function can be directly estimated from the image sequence without any assumption on the reflectance property of the object surface. From the image sequence, the 3D locations of some singular surface points are calculated and their brightness values are extracted for the estimation of the reflectance function. We also show that the surface can be recovered by using shading information in two images of the rotating object. Iteratively using the first-order Taylor series approximation and the estimated reflectance function, the depth and orientation of the surface can be recovered simultaneously. The experimental results on real image sequences of both matte and specular surfaces demonstrate that the technique is feasible and robust.