5/1/2023 0 Comments Coursenotes chapter 23![]() ![]() In Computational Models of Visual Processing. ![]() ![]() The plenoptic function and the elements of early vision. In Proceedings of the International Conference on Computer Vision (ICCV), 1-8. Towards a theory of shape from specular flow. Adato, Y., Vasilyev, Y., Ben-Shahar, O., and Zickler, T.In Proceedings of Vision, Modeling and Visualization (VMV), 161-168. Geometric point light source calibration. Ackermann, J., Fuhrmann, S., and Goesele, M.For this reason, we also discuss recent advances towards an efficient, fully automatic acquisition in the scope of the concluding remarks. These standard acquisition techniques are - by design - only well-suited for a limited range of surface materials and, hence, not adequate if no prior information with respect to the surface reflectance behavior is available. In this context, this course provides a thorough overview of the standard methods for the acquisition of both geometry and reflectance of surfaces with different types of reflectance behavior ranging from diffuse over opaque to specular surfaces or even translucent and transparent surfaces. This short course sheds light on the acquisition ecosystem with three of its most important components that consist in accurate acquisition methods for geometry and reflectance as well as strategies towards an efficient acquisition pipeline to fulfill the demands of industry with respect to mass digitization of 3D contents. The demands for digital 3D content for numerous applications such as video games, movies, virtual prototyping, advertisement, virtual reality, augmented reality or even digital preservation of cultural heritage objects has led to a need for efficient and accurate automatic acquisition systems for both geometry and reflectance. ![]()
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