Pose estimation is essential for automated han- dling of objects. In many computer vision applications only the object silhouettes can be acquired reliably, because untextured or s...
Christian Reinbacher, Matthias Rüther, Horst Bisc...
This paper addresses two critical but rarely concerned issues in 2D face recognition: wider-range tolerance to pose variation and misalignment. We propose a new Textural Hausdorff...
In this work, we investigate the viability of a novel combination of evoked responses as input signals for a general-purpose brain-machine interface (BMI). We demonstrate response...
Rudolph L. Mappus IV, Paul M. Corballis, Melody Mo...
This paper investigates segmentation-based image descriptors for object category recognition. In contrast to commonly used interest points the proposed descriptors are extracted f...
This paper presents a non-rigid registration method for the restoration of double-sided historical manuscripts. Firstly, the gradient direction maps of the two images of a manuscr...