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An automatic building extraction method for very high resolution satellite images is presented in this paper. Two novel operators Differential Morphological Shadow Operator (DMSO) and Differential Morphological Building Operator (DMBO) for extracting shadows and buildings respectively are proposed. The method identifies shadows using DMSO. After masking out the shadow, DMBO is applied to obtain the...
This study proposes a sine wave-based auditory user interface for assisting visually impaired persons with creating mental maps of walking environments. Wall shapes are considered as fundamental map features of the map in building a mental map of a space. Therefore, the distance and direction to walls are important. In this study, we present information to users via sound. To show the distance to...
We present a robust approach for reconstructing the architectural structure of complex indoor environments given a set of cluttered input scans. Our method first uses an efficient occlusion-aware process to extract planar patches as candidate walls, separating them from clutter and coping with missing data. Using a diffusion process to further increase its robustness, our algorithm is able to reconstruct...
Imaginary objects in games and movies must include small-scale details in order to appear plausible. Often the overall character of this ‘incidental’ detail matters, but the exact shape and placement of each feature is unimportant. The creation of these details often consumes artist time when pattern generation techniques could automate the process instead, but many current pattern generation processes...
The research presented here is the result of two related theses, carried out in collaboration between PoliMi, (Italy) and NTUA, (Greece). Part of it is carried out within the INTERREG EU project framework, which aims to the valuation and dissemination of the role of the Church of S. Maria di Scaria (Vall' Intelvi) in the international European exchange of skills in the past centuries. It mainly focuses...
We present the analysis of multi-faceted, GIS managed data for determining the archaeological potential, i.e. a measure of the possibility that a more or less significant archaeological stratification is preserved. We used a sizable number of datasets, in order to consider the problem of estimation of archaeological potential in all of its aspects: archaeological data, building archaeological data,...
Building Information Modeling is considered by the scientific literature as an emerging trend in the architectural documentation scenario, as it is basically a digital representation of physical and functional features of facilities, serving as a shared knowledge resource during their whole life cycle. BIM is actually a process (not a software, as someone indicated), in which different players act...
This paper presents two new developments for as-built BIM modeling of historical buildings. The first is a new library of interactive parametric objects designed for modeling classical architectural elements from survey data. These library objects are dynamic and have parameters that can alter the shape and size of objects for multiple uses and not just once off static modeling. The parametric architectural...
Migrating software product variants which are deemed similar into a product line is a challenging task with main impact in software reengineering. To exploit existing software variants to build a software product line (SPL), the first step is to mine the feature model of this SPL which involves extracting common and optional features. Thus, we propose, in this paper, a new approach to mine features...
Building damage evaluation is an important part of disaster response and recovery phases of the emergency management cycle. Earth observation data acquired by remote sensing satellites can provide useful information for damage mapping. Unfortunately, very high spatial resolution images are quite large and require analysis by multiple expert photo-interpreters in order to extract meaningful information...
In this paper, we present an image processing chain that can interpret high resolution synthetic aperture radar (SAR) imagery for building layover characterization and extraction in urban areas. It is composed of three main parts — generation of hint areas, generation of superpixels, and optimized cut of layovers via superpixel merging. The proposed framework is complete, and flexibly integrates necessary...
Shape grammars are generative systems dedicated to specific needs of designers. In the last few years, they have received increased interest especially in building reconstruction and building model generation. We propose to combine the formalism with computational intelligence methods and apply to the 3D layout problem which require efficient search of large and discontinuous spaces. The approach...
This paper investigates a novel solution for the recognition of objects of interest in aerial images. The solution builds on a combination of algorithms inspired from the human visual system with classical and modern algorithms. The goal is to achieve intelligent and powerful approaches that allow for fast and automatic treatment of complex images. The methodology that is proposed innovatively combines...
In this paper, we present a technique that uses 3D shape grammars to segment and estimate rectilinear shapes in non-rectified images. While others have proposed the use of shape grammars for segmentation, i.e., assigning labels to rectangular 2D regions within rectified images, the proposed method is innovative for the following reasons: (1) it uses projections of 3D shapes to define non-rectangular...
The field of sketching interface design in regards to video game is relatively young and has not been investigated in great depth. Freepad is a custom paper-based MIDI musical interface. We describe an extension to Freepad that supports user customization for real time strategy games. Using only a webcam, a pen and a sheet of paper, players can design their own interface by drawing shapes and linking...
The fundamental step to get a Statistical Shape Model (SSM) is to align all the training samples to the same spatial modality. In this paper, we propose a new 3D alignment method using surface parameterization theory to solve the rotation transformation of 3D rigid registration. It is a feature based alignment method which matches two models depending on comparing the distribution of spherical conformal...
Shadow fading is severe in downtown areas where buildings are densely located. This paper proposes a stochastic model to quantify blockages due to shadowing, using methods from random shape theory. Buildings inside a cell are modeled as line segments with random sizes and orientations, with locations from a spatial Poisson point process. Dense urban areas can be modeled by the parameters of the line...
Historically, the tools used at NREL to compensate for the difference between a reference spectrum and a simulator spectrum have been well-matched reference cells and the application of a calculated spectral mismatch correction factor, M. This paper describes the algorithm for adjusting the spectrum of a 9-channel fiber-optic-based solar simulator with a uniform beam size of 9 cm square at 1-sun....
Denoising surfaces is a a crucial step in the surface processing pipeline. This is even more challenging when no underlying structure of the surface is known, id est when the surface is represented as a set of unorganized points. In this paper, a denoising method based on local similarities is introduced. The contributions are threefold: first, we do not denoise directly the point positions but use...
In this paper we address multi-view reconstruction of urban environments using 3D shape grammars. Our formulation expresses the solution to the problem as a shape grammar parse tree where both the tree and the corresponding derivation parameters are unknown. Besides the grammar constraint, the solution is guided by an image support that is twofold. First, we seek for a derivation that induces optimal...
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