3D meshes are widely employed to represent geometry structure of shapes. Due limitation scanning sensor precision and other issues, inevitably affected by noise, which hampers the subsequent applications. Convolultional neural networks (CNNs) achieve great success in image processing tasks, including 2D denoising, have been proven own capacity modeling complex features at different scales, is a...

Head pose estimation is an important part of the field face analysis technology. It can be applied to driver attention monitoring, passenger effective information screening, etc. However, illumination changes and partial occlusion interfere with task, due non-stationary characteristic head change process, normal regression networks are unable achieve very accurate results on large-scale synthet...

The aim of this paper is to analyze the undamped second order descriptor systems to show the possibility of transform an undamped second order descriptor system to a pure first order descriptor system ,on different ways, while stating some of its benefits. Meanwhile we will introduce pure first order systems and undamped second order systems and indicate that under some assumptions every undamp...

This paper presents new image descriptors based on color, texture, shape, and wavelets for object and scene image classification. First, a new three Dimensional Local Binary Patterns (3D-LBP) descriptor, which produces three new color images, is proposed for encoding both color and texture information of an image. The 3D-LBP images together with the original color image then undergo the Haar wa...