In the field of computer graphics, Volume Rendering techniques allow the visualization of 3D datasets, and specifically, Volume Ray-Casting renders images from volumetric datasets, typically used in some scientific areas, such as medical imaging. This article aims to describe the development of a combined visualization of tractography and volume rendering of brain T1 MRI images in an integrated...

With the gradual deepening of National Rural Revitalization Strategy, investment, tourism traditional natural villages has become a hot spot in recent years. Taking village renewal Longtan Village Guizhou Province as an example, this paper uses space syntax theory and method to establish axis model horizon by using Depthmap software analyze integration value, depth values, connection value line...

This short paper discusses some of the new functions available in UCL Depthmap 7. UCL Depthmap’s original purpose was to perform integration analysis of isovists just as the integration of axial lines could be calculated. It has now developed in a number of different directions, so it has become closer to a traditional GIS system with analysis functions for graphs built in. In doing so, it has ...

In the field of computer graphics, Volume Rendering techniques allow the visualization of 3D datasets, and specifically, Volume Ray-Casting renders images from volumetric datasets, typically used in some scientific areas, such as medical imaging. This article aims to describe the development of a combined visualization of tractography and volume rendering of brain T1 MRI images in an integrated...

Here we present Depthmap, a program designed to perform visibility graph analysis of spatial environments. The program allows a user to import a 2D layout in drawing exchange format (DXF), and to fill the open spaces of this layout with a grid of points. The user may then use the program to make a visibility graph representing the visible connections between those point locations. Once the grap...

Depthmap fusion is the problem of computing dense 3D reconstructions from a set of depthmaps. Whereas this problem has received a lot of attention for purely rigid scenes, there is remarkably little prior work for dense reconstructions of scenes consisting of several moving rigid bodies or parts. This paper therefore explores this multi-body depthmap fusion problem. A first observation in the m...

The traditional residence with protogenetic spatial arrangement is regarded as a critical carrier of social logic space, which makes it an ideal object for studying the relationship between form and context. To this end, comparative analysis conducted using Depthmap Software. This study based on space syntax theory two groups proxies sharp differences in organization one geomorphic unit where n...

The estimation of a complete 3D model from a set of depthmaps is a data intensive task aimed at mitigating measurement noise in the input data by leveraging the inherent redundancy in overlapping multi-view observations. In this paper we propose an efficient depthmap fusion approach that reduces the memory complexity associated with volumetric scene representations. By virtue of reducing the me...

This paper proposes a deep neural network (DNN) for piece-wise planar depthmap reconstruction from a single RGB image. While DNNs have brought remarkable progress to single-image depth prediction, piece-wise planar depthmap reconstruction requires a structured geometry representation, and has been a difficult task to master even for DNNs. The proposed end-to-end DNN learns to directly infer a s...