Particulate Matter (PM) is a form of air pollution that visually degrades urban scenery and is hazardous to human health and the environment. Current monitoring devices are limited in measuring average PM over large areas. Quantifying the visual effects of haze in digital images of urban scenery and correlating these effects to PM levels is a vital step in more practically monitoring our enviro...

Enliang Zheng: Toward 3D Reconstruction of Static and Dynamic Objects (Under the direction of Jan-Michael Frahm and Enrique Dunn) The goal of image-based 3D reconstruction is to construct a spatial understanding of the world from a collection of images. For applications that seek to model generic real-world scenes, it is important that the reconstruction methods used are able to characterize bo...

We present a real-time method for detecting and removing boundary overextension, which is the fattening of foreground objects often observed in area-based stereo. Global methods such as graph-cuts are much slower than local methods, thus boundary overextension is still a major problem for realtime stereo. Starting with the depth discontinuity curves, the boundaries of the overextension regions ...

Abstract As a vital element of successful cities, public spaces play an important role in achieving sustainable development goals. The New urban agenda considers as need sustaining the productivity eco-social cohesion and inclusion, civic identity, quality life. This is also line with European Bauhaus, part Green Deal, to create beautiful places, practices experiences that are enriching, inclus...

This research takes Cuiwei Village located in Qianshan District of Zhuhai City as an example. The village is investigated and analyzed through field research, the street scale, spatial structure, functional characteristics streets, internal commercial distribution forms, functions Historic Block are studied analyzed. Based on convex space analysis method line sight syntax theory, with help Dept...

Binocular stereo has been extensively studied for extracting the shape of a scene. The challenge is in matching features between two images of a scene; this is the correspondence problem. Shape from shading (SfS) is another method of extracting shape. This models the interaction of light with the scene surface(s) for a single image. These two methods are very different; stereo uses surface feat...

Visibility analysis is an important application of 3D GIS data. Current approaches require 3D city models that are often derived from detailed aerial point clouds. We present an approach to visibility analysis that does not require a city model but works directly on the point cloud. Our approach is based on the medial axis transform, which models the urban environment as a union of balls, which...

A new method is described for recovering the distance of objects in a scene from images formed by lenses. The recovery is based on measuring the change in the scene’s image due to a known change in the three intrinsic camera parameters: (i) distance between the lens m d the image detector, (ii) focal length of the lens, and (iii) diameter of the lens aperture. The method is parallel involving s...

This paper proposes a novel MAP inference framework for Markov Random Field (MRF) in parallel computing environments. The inference framework, dubbed Swarm Fusion, is a natural generalization of the Fusion Move method. Every thread (in a case of multi-threading environments) maintains and updates a solution. At each iteration, a thread can generate arbitrary number of solution proposals and tak...

The 2.1D sketch is a layered representation of occluding and occluded surfaces of the scene. Extracting the 2.1D sketch from a single image is a difficult and important problem arising in many applications. We present a fast and robust algorithm that uses boundaries of image regions and T-junctions, as important visual cues about the scene structure, to estimate the scene layers. The estimation...