Abstract
This study addresses the issue of silhouette extraction of a street, and proposes two novel approaches to overcome this problem. The first, namely hybrid-stitching, considers the silhouette extraction as an image stitching problem and aims to use 2D street view images. The algorithm used in this method integrates a new composition technique into a conventional image stitching pipeline. The developed software using the proposed hybrid approach results in better stitching performances when compared with the popular stitching tools in the literature. Despite the results of the proposed method are better than the state-of-the-art image stitching techniques in many cases, they are not reliable enough to handle all of the street view image sets. Accordingly, a second solution has been proposed, including 3D location information, namely, 3D Silhouette Extraction Pipeline. The pipeline involves several techniques and post-processing steps to handle both the transformation and projection of the obtained point cloud, and the elimination of misleading location information. The results reveal that compared with the 2D solutions, the proposed algorithm is very effective and more reliable in silhouette extraction of a street, which is critical in urban transformation and environmental protection.
Highlights
Recent researches reveal that developing countries implement urban transformation without considering environmental aesthetics
The 2D street view images used in this study have both homogeneous (see Figure 4(b)) and heterogeneous (see Figure 4(c)(d)(e)(f)) structures
A homogeneous image set can be defined as a group of images whose objects of interest are on the same plane that is as parallel as possible to the direction of camera transition
Summary
Recent researches reveal that developing countries implement urban transformation without considering environmental aesthetics. Within the scope of systematic monitoring of urban regeneration, the whole aspects and line art silhouettes of streets are primarily required. The silhouette is the simplest form of line art and can be utilised in technical illustrations and architectural design [1]. In the cases that this paper addresses, a silhouette of a street is identified as a coloured image that contains the information from all of the objects of interest (buildings and all of the objects that affect the configuration of the street), or in other words, expresses all the aspects of that street. The line art version silhouettes and coloured street aspects are being used and performing measurements is required for this urban regeneration process. These silhouettes are extracted from street view images by municipal officials and
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