Abstract. This paper presents a theory for constructing and computing velocity-adapted scale-space filters for spatio-temporal image data. Starting from basic criteria in terms of ...
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Computational representation of perceived image quality is a fundamental problem in computer vision and image processing, which has assumed increased importance with the growing r...
This paper addresses signal processing issues related to coded representation, reconstruction and rendering of multiview video for 3D displays. We provide an overview of standardi...
Anthony Vetro, Sehoon Yea, Matthias Zwicker, Wojci...
Two important signal processing problems in the display side of a holographic 3DTV are the computation of the diffraction field of a 3D object from its abstract representation, an...
Atanas P. Gotchev, Erdem Ulusoy, Gokhan Bora Esmer...