Dynamic image analysis requires the estimation of time-varying model parameters (e.g., shape coe cients). This can be11 seen as states of a dynamic model which are restricted to a...
Saliency-based analysis can be applied to time-varying 3D datasets purpose of summarization, abstraction, and motion analysis. As the sizes of time-varying datasets continue to gro...
Youngmin Kim, Robert Patro, Cheuk Yiu Ip, Dianne P...
When an oversampled FIR filter bank structure is used for signal analysis, a main problem is to guarantee its invertibility and to be able to determine an inverse synthesis filt...
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
In this paper a novel framework for three-dimensional surface reconstruction by self-consistent fusion of shading and shadow features is presented. Based on the analysis of at lea...