We present a decision tree learning approach to diagnosing failures in large Internet sites.
We record runtime properties of each request and apply automated machine learning and …

Occlusions will reduce the performance of systems in many computer vision applications
with discontinuous surfaces of 3D scenes. We explore a signal-processing framework of …

Occlusions are common phenomena in light field rendering (LFR) technology applications.
The 3-D spatial structures of some features may be missing or incorrect when capturing …

Estimation of localization error and selection of system parameters are the key factors in
evaluation of visual 3-D systems. Iso-disparity layers and correspondence field are recently …

Stereo matching algorithms attempt to estimate depth from the images obtained by two
cameras. In most cases, the arrangement of cameras (their locations and orientations with …

Light field rendering is an effective multi-view reconstruction technology. The current multi-
view reconstruction methods still have the problem of low view synthesis quality in complex …

Rendering quality optimization theory is one of the most basic and fascinating components
of image-based rendering (IBR). The rendering quality of virtual views is related to the …

The main problems with virtual view synthesis based on the common Depth-Image-Based
Rendering (DIBR) algorithms are image rectification, depth map and image de-rectification …

In this paper we address the problem of automatic arrangement of cameras in a 3D system
to enhance the performance of depth acquisition procedure. Lacking ground truth or a priori …

Stereo machine vision can be used as a Space Sampling technique and the cameras
parameters and configuration can effectively change the number of Samples in each …