نتایج جستجو برای: Mean Texture Depth

تعداد نتایج: 773386  

2008
E. Freitas P. Pereira M. L. Antunes P. Domingos

Texture is a surface characteristic which has a very wide influence on pavements functional quality. It is currently assessed by a number of test methods. Road Administrations face the problems of dealing with data acquired by different methods and, in addition to that, the repeatability and reproducibility of the results. This paper presents an analysis of test methods used for texture depth e...

Pavement surface texture and its skid resistance are two key safety parameters of highways, which both are influenced by pavement characteristics. This research is done on a newly constructed asphalt pavement (Qom-Garmsar freeway) in Iran. The goal is investigating the relation between skid resistance and pavement texture in order to asphalt content changes in Hot Mix Asphalt. Mean Texture Dept...

three dimensional- high efficiency video coding (3D-HEVC) is the expanded version of the latest video compression standard, namely high efficiency video coding (HEVC), which is used to compress 3D videos. 3D videos include texture video and depth map. Since the statistical characteristics of depth maps are different from those of texture videos, new tools have been added to the HEVC standard fo...

Journal: :مهندسی عمران فردوسی 0
بهنام امینی حمیدرضا صالحپور

many studies have been conducted focusing on the effects of friction coefficient or texture depth on the highway accident risk. however, combined effects of these parameters have not been still addressed. in this research the interaction between friction coefficient, texture depth and accident rate in 30 freeway sections were examined. the accident data were gathered and an apparatus was design...

ژورنال: اقیانوس شناسی 2020

In order to investigate the sedimentary texture, diversity and density of benthic molluscs, 55 stations at 9 transect were collected in the Nayband Bay.Samples were taken with a Van Veen grab (0.022 m2) in 3 replications in each site.Using a Particle Size Analyzer instrument revealed that the sediment texture was dominated by sand with 7 sub distinct sub sediment. Semelidae,Veneridae and Tellin...

2017
Pallab Podder Manoranjan Paul Manzur Murshed D. M. Motiur Rahaman

The multiview video exploits both texture and depth video information from various angles to create a 3D video [1]-[3] and free viewpoint video (FVV) [4] which are gradually becoming more popular for their advanced visual experience with depth perception [5]-[7]. Unlike texture, depth video is determined by a gray scale map indicating distance between camera and 3D points in a scene [8]. If a c...

Journal: :EURASIP J. Adv. Sig. Proc. 2009
Ismaël Daribo Christophe Tillier Béatrice Pesquet-Popescu

The video-plus-depth data representation uses a regular texture video enriched with the so-called depth map, providing the depth distance for each pixel. The compression efficiency is usually higher for smooth, gray level data representing the depth map than for classical video texture. However, improvements of the coding efficiency are still possible, taking into account the fact that the vide...

2004
Pedro Rosas Marc O. Ernst Felix A. Wichmann Johan Wagemans

In vision science the currently most popular models for depth perception are weak fusion models in which the final depth estimate results from a weighted average of the independent depth estimates obtained from each cue [2]. In these models a more reliable cue has a larger weight in the combined estimate. Furthermore, recent studies report that human observes combine depth cues as to obtain the...

2003
Jan Meseth Reinhard Klein

The Bidirectional Texture Function (BTF) is a suitable representation for the appearance of highly detailed surface structures under varying illumination and viewing conditions. Since real-time rendering of the full BTF data is currently not feasible, approximations of the six-dimensional BTF are used such that the amount of data is reduced and current graphics hardware can be exploited. While ...

2012
Dogancan Temel Ghassan AlRegib

In this brief on-going research paper, we summarize our current work on reconstructing the depth map from a fusion of multiple estimated depth maps that are generated from a number of multiple monocular cues. We first analyze a ground truth depth map to extract a set of depth cues or statistics. Then, using these depth cues, we process the colored reference video and generate an estimate of the...

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