3 accepted papers
We address the problem of recovering the 3D geometry of a human face from a set of facial images in multiple views. While recent studies have shown impressive progress in 3D Morphable Model (3DMM) based facial reconstruction, the settings are mostly restricted to a single view. There is an inherent…
In this paper, we address the problem of ground-based hyperspectral image segmentation by combining pixel-level and region-level classification with a region boundary refinement approach. To this end, we represent the spatio-spectral feature of image regions by a descriptor based on Vector of Locall…
We consider the problem of depth-based robust 3D facial pose tracking under unconstrained scenarios with heavy occlusions and arbitrary facial expression variations. Unlike the previous depth-based discriminative or data-driven methods that require sophisticated training or manual intervention, we p…