In this paper a systematic approach to the processing and combination of high resolution color images and low resolution time-offlight depth maps is described. The purpose is the calculation of a dense depth map for one of the high resolution color images. Special attention is payed to the different nature of the input data and their large difference in resolution. This way the low resolution t...

In this paper, we propose a new scheme to represent threedimensional (3-D) dynamic scenes using a hierarchical decomposition of depth maps. In the hierarchical decomposition, we split a depth map into four types of images: regular mesh, boundary, feature point and number-oflayer (NOL) images. A regular mesh image is obtained by down-sampling a depth map. A boundary image is generated by gatheri...

Depth and texture play complementary roles in the coding of faces. While most existing face recognition methods are based on texture cues from intensity images due to their ease of acquisition, more accurate face recognition can be achieved by exploiting both modalities. To evaluate this claim, we have designed a pattern classifier for three different inputs: (1) depth map, (2) texture map, and...

At the core of a myriad of tasks such as object recognition, tridimensional reconstruction and alignment resides the critical problem of correspondence. Hence, devising descriptors, which identify the entities to be matched and that are able to correctly and reliably establish pairs of corresponding points is of central importance. We introduce three novel descriptors that efficiently combine a...

Virtual calligraphic carving aims to generate 3D virtual carving works from 2D calligraphic images. This paper proposes a method of virtual calligraphic carving taking calligraphic carving work as a depth map composed of smoothness scalar field and brush-pressure distribution, which ensures the smoothness of carving surface and interprets the strength of calligraphy, respectively. On one hand, ...

This paper examines the problem of obtaining a mathematical representation of the outer cortex of the human brain, which is a key problem in several applications, including morphological analysis of the brain, and spatial normalization and registration of brain images. A parameterization of the outer cortex is first obtained using a deformable surface algorithm which, motivated by the structure...

We present a novel cortical correspondence method employing group-wise registration in a spherical parametrization space for the use in local cortical thickness analysis in human and non-human primate neuroimaging studies. The proposed method is unbiased registration that estimates a continuous smooth deformation field into an unbiased average space via sulcal curve-constrained entropy minimiza...

This paper presents Space-Time Occupancy Patterns (STOP), a new visual representation for 3D action recognition from sequences of depth maps. In this new representation, space and time axes are divided into multiple segments to define a 4D grid for each depth map sequence. The advantage of STOP is that it preserves spatial and temporal contextual information between space-time cells while being...

Inpainting methods attempt to reconstruct lost or destroyed image information as plausibly and sensibly to the human eye as possible. Information from the neighboring area is extrapolated into unkown image regions. This technique is also employed in view synthesis for 3D videos as well. Warping given scene views to other viewingpoints causes disocclusion artifacts to occur in the synthesized im...

Image Based Rendering holds a lot of promise for navigating through a real world scene without modeling it manually. Different representations have been proposed for IBR in the literature. In this paper, we argue that a representation using depth maps and texture images from a number of viewpoints is a rich and viable representation for IBR. We discuss different aspects of this representation i...