Adding Visibility to Visibility Graphs: Weighting Visibility Analysis with Attenuation Coefficients
Evaluating the built environment based on visibility has been long used as a tool for human-centric design. The origins of isovists and visibility graphs are within interior spaces, while more recently, these evaluation techniques have been applied in the urban context. One of the key differentiators of an outside environment is the weather, which has largely been ignored in the design computation and space-syntax research areas. While a visibility graph is a straightforward metric for determining connectivity between regions of space through a line of sight calculation, this approach largely ignores the actual visibility of one point to another. This paper introduces a new method for weighting a visibility graph based on weather conditions (i.e. rain, fog, snow). These new factors are integrated into visibility graphs and applied to sample environments to demonstrate the variance between assuming a straight line of sight and reduced visibility.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
A Focal Any-Angle Path-finding Algorithm Based on A* on Visibility Graphs
In this research, we investigate the subject of path-finding. A pruned version of visibility graph based on Candidate Vertices is formulated, followed by a new visibility check technique. Such combination enables us to q…
Visibility graphs for image processing
The family of image visibility graphs (IVGs) have been recently introduced as simple algorithms by which scalar fields can be mapped into graphs. Here we explore the usefulness of such operator in the scenario of image p…
ClassificationGeneral Classificationimage-classificationImage ClassificationCoMapGS: Covisibility Map-based Gaussian Splatting for Sparse Novel View Synthesis
We propose Covisibility Map-based Gaussian Splatting (CoMapGS), designed to recover underrepresented sparse regions in sparse novel view synthesis. CoMapGS addresses both high- and low-uncertainty regions by constructing…
3DGSNeRFNovel View SynthesisVis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Learned Virtual View Visibility
We present a novel framework for mesh reconstruction from unstructured point clouds by taking advantage of the learned visibility of the 3D points in the virtual views and traditional graph-cut based mesh generation. Spe…
3D Surface GenerationBinary ClassificationDepth CompletionVisibility Estimation from Point CloudEnhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models
In today's globalized economy, comprehensive supply chain visibility is crucial for effective risk management. Achieving visibility remains a significant challenge due to limited information sharing among supply chain pa…
Knowledge GraphsManagementnamed-entity-recognitionNamed Entity Recognition+3