Multi−View display technology allows the presentation of a 3D video by showing simultaneously several views of the same scene. One approach to render these multiple views is to synthesize novel views using a Depth Image Based Rendering (DIBR) algorithm. Consequently, for the efficient transmission of 3D video signals, the compression of texture and also the depth images is required. Since the r...

This paper describes a new Image Based Rendering technique aimed at increasing the realism of textured cylindrical surfaces by adding 3D details and enhancing the depth conceived by the viewer. Cylindrical relief texture mapping extends the existing work on planar relief textures by using cylinders as warp surfaces. After mapping the planar relief texture to a reference cylinder, cylindrical wa...

A depth estimation algorithm from plenoptic images is presented. There are two stages to estimate the depth. First is the initial estimation base on the epipolar plane images (EPIs). Second is the refinement of the estimations. At the initial estimation, adaptive window matching is used to improve the robustness. The size of the matching window is based on the texture description of the sample ...

Understanding spatial variation of soil organic carbon (SOC) in three-dimensional direction is helpful for land use management. Due to the effect of profile depths and soil texture on vertical distribution of SOC, the stationary assumption for SOC cannot be met in the vertical direction. Therefore the three-dimensional (3D) ordinary kriging technique cannot be directly used to map the distribut...

Realistic rendering of underwater scenes is one of the most anticipated research topics in computer graphics. Caustics are the important component enhancing the realism of this kind of scenes. Unfortunately, rendering caustics is a time consuming task. As a result, most existing algorithms cannot handle this at interactive rate. In recent years, volumetric texture based rendering algorithms hav...

For the task of monocular depth estimation, self-supervised learning supervises training by calculating pixel difference between target image and warped reference image, obtaining results comparable to those with full supervision. However, problematic pixels in low-texture regions are ignored, since most researchers think that no violate assumption camera motion, taking stereo pairs as input le...

In this paper, we present a novel 2.5D face recognition method based on Gabor Discrete Cosine Transform (GDCT). In the proposed method, the Gabor filter is applied to extract feature vectors from the texture and the depth information. Then, Discrete Cosine Transform (DCT) is used for dimensionality and redundancy reduction to improve computational efficiency. The system is combined texture and ...

Shape from texture has received a great deal of attention in the past few decades. This paper analyzes the spectral variations of texture spatial frequencies as a function of orientation and depth of a 3-D planar surface. Based on this relationship we attempt to derive an expression for the extraction of 3-D surface orientation using texture features alone. Using experimentation on simulated te...