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26
Heritage Recording and 3D Modeling with Photogrammetry and 3D Scanning
, 2011
"... Abstract: The importance of landscape and heritage recording and documentation with optical remote sensing sensors is well recognized at international level. The continuous development of new sensors, data capture methodologies and multi-resolution 3D representations, contributes significantly to th ..."
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Cited by 22 (2 self)
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Abstract: The importance of landscape and heritage recording and documentation with optical remote sensing sensors is well recognized at international level. The continuous development of new sensors, data capture methodologies and multi-resolution 3D representations, contributes significantly to the digital 3D documentation, mapping, conservation and representation of landscapes and heritages and to the growth of research in this field. This article reviews the actual optical 3D measurement sensors and 3D modeling techniques, with their limitations and potentialities, requirements and specifications. Examples of 3D surveying and modeling of heritage sites and objects are also shown throughout the paper.
Irregular lattices for complex shape grammar facade parsing
- In CVPR
"... High-quality urban reconstruction requires more than multi-view reconstruction and local optimization. The structure of facades depends on the general layout, which has to be optimized globally. Shape grammars are an estab-lished method to express hierarchical spatial relationships, and are therefor ..."
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Cited by 20 (7 self)
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High-quality urban reconstruction requires more than multi-view reconstruction and local optimization. The structure of facades depends on the general layout, which has to be optimized globally. Shape grammars are an estab-lished method to express hierarchical spatial relationships, and are therefore suited as representing constraints for se-mantic facade interpretation. Usually inference uses nu-merical approximations, or hard-coded grammar schemes. Existing methods inspired by classical grammar parsing are not applicable on real-world images due to their pro-hibitively high complexity. This work provides feasible generic facade reconstruction by combining low-level clas-sifiers with mid-level object detectors to infer an irregular lattice. The irregular lattice preserves the logical structure of the facade while reducing the search space to a manage-able size. We introduce a novel method for handling sym-metry and repetition within the generic grammar. We show competitive results on two datasets, namely the Paris2010 and the Graz50. The former includes only Hausmannian, while the latter includes Classicism, Biedermeier, Histori-cism, Art Nouveau and post-modern architectural styles. 1.
O-Snap: Optimization-Based Snapping for Modeling Architecture
- ACM TRANSACTIONS ON GRAPHICS
, 2012
"... In this paper, we introduce a novel reconstruction and modeling pipeline to create polygonal models from unstructured point clouds. We propose an automatic polygonal reconstruction that can then be interactively refined by the user. An initial model is automatically created by extracting a set of RA ..."
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Cited by 20 (1 self)
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In this paper, we introduce a novel reconstruction and modeling pipeline to create polygonal models from unstructured point clouds. We propose an automatic polygonal reconstruction that can then be interactively refined by the user. An initial model is automatically created by extracting a set of RANSAC-based locally fitted planar primitives along with their boundary polygons, and then searching for local adjacency relations among parts of the polygons. The extracted set of adjacency relations is enforced to snap polygon elements together, while simultaneously fitting to the input point cloud and ensuring the planarity of the polygons. This optimization-based snapping algorithm may also be interleaved with user interaction. This allows the user to sketch modifications with coarse and loose 2D strokes, as the exact alignment of the polygons is automatically performed by the snapping. The generated models are coarse, offer simple editing possibilities by design and are suitable for interactive 3D applications like games, virtual environments etc. The main innovation in our approach lies in the tight coupling between interactive input and automatic optimization, as well as in an algorithm that robustly discovers the set of adjacency relations.
Guided Procedural Modeling
, 2011
"... Procedural methods present one of the most powerful techniques for authoring a vast variety of computer graphics models. However, their massive applicability is hindered by the lack of control and a low predictability of the results. In the classical procedural modeling pipeline, the user usually de ..."
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Cited by 12 (2 self)
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Procedural methods present one of the most powerful techniques for authoring a vast variety of computer graphics models. However, their massive applicability is hindered by the lack of control and a low predictability of the results. In the classical procedural modeling pipeline, the user usually defines a set of rules, executes the procedural system, and by examining the results attempts to infer what should be changed in the system definition in order to achieve the desired output. We present guided procedural modeling, a new approach that allows a high level of top-down control by breaking the system into smaller building blocks that communicate. In our work we generalize the concept of the environment. The user creates a set of guides. Each guide defines a region in which a specific procedural model operates. These guides are connected by a set of links that serve for message passing between the procedural models attached to each guide. The entire model consists of a set of guides with procedural models, a graph representing their connection, and the method in which the guides interact. The modeling process is performed by modifying each of the described elements. The user can control the high-level description by editing the guides or manipulate the low-level description by changing the procedural rules. Changing the connectivity allows the user to create new complex forms in an easy and intuitive way. We show several examples of procedural structures, including an ornamental pattern, a street layout, a bridge, and a model of trees. We also demonstrate interactive examples for quick and intuitive editing using physics-based mass-spring system.
Bayesian grammar learning for inverse procedural modeling
- In CVPR
, 2013
"... Within the fields of urban reconstruction and city model-ing, shape grammars have emerged as a powerful tool for both synthesizing novel designs and reconstructing build-ings. Traditionally, a human expert was required to write grammars for specific building styles, which limited the scope of method ..."
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Cited by 12 (1 self)
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Within the fields of urban reconstruction and city model-ing, shape grammars have emerged as a powerful tool for both synthesizing novel designs and reconstructing build-ings. Traditionally, a human expert was required to write grammars for specific building styles, which limited the scope of method applicability. We present an approach to automatically learn two-dimensional attributed stochastic context-free grammars (2D-ASCFGs) from a set of labeled building facades. To this end, we use Bayesian Model Merg-ing, a technique originally developed in the field of natu-ral language processing, which we extend to the domain of two-dimensional languages. Given a set of labeled positive examples, we induce a grammar which can be sampled to create novel instances of the same building style. In ad-dition, we demonstrate that our learned grammar can be used for parsing existing facade imagery. Experiments con-ducted on the dataset of Haussmannian buildings in Paris show that our parsing with learned grammars not only out-performs bottom-up classifiers but is also on par with ap-proaches that use a manually designed style grammar. 1.
Interactive Acquisition of Residential Floor Plans
"... We present a hand-held system for real-time, interactive acquisition of residential floor plans. The system integrates a commodity range camera, a micro-projector, and a button interface for user input and allows the user to freely move through a building to capture its important architectural ele ..."
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Cited by 8 (1 self)
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We present a hand-held system for real-time, interactive acquisition of residential floor plans. The system integrates a commodity range camera, a micro-projector, and a button interface for user input and allows the user to freely move through a building to capture its important architectural elements. The system uses the Manhattan world assumption, which posits that wall layouts are rectilinear. This assumption allows generating floor plans in real time, enabling the operator to interactively guide the reconstruction process and to resolve structural ambiguities and errors during the acquisition. The interactive component aids users with no architectural training in acquiring wall layouts for their residences. We show a number of residential floor plans reconstructed with the system.
A Hybrid Multi-View Stereo Algorithm for Modeling Urban Scenes
, 2013
"... We present an original multi-view stereo reconstruction algorithm which allows the 3D-modeling of urban scenes as a combination of meshes and geometric primitives. The method provides a compact model while preserving details: irregular elements such as statues and ornaments are described by meshes ..."
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Cited by 7 (1 self)
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We present an original multi-view stereo reconstruction algorithm which allows the 3D-modeling of urban scenes as a combination of meshes and geometric primitives. The method provides a compact model while preserving details: irregular elements such as statues and ornaments are described by meshes whereas regular structures such as columns and walls are described by primitives (planes, spheres, cylinders, cones and tori). We adopt a two-step strategy consisting first in segmenting the initial meshbased surface using a multi-label Markov Random Field based model and second, in sampling primitive and mesh components simultaneously on the obtained partition by a Jump-Diffusion process. The quality of a reconstruction is measured by a multi-object energy model which takes into account both photo-consistency and semantic considerations (i.e. geometry and shape layout). The segmentation and sampling steps are embedded into an iterative refinement procedure which provides an increasingly accurate hybrid representation. Experimental results on complex urban structures and large scenes are presented and compared to the state-of-the-art multi-view stereo meshing algorithms.
Manhattan and Piecewise-Planar Constraints for Dense Monocular Mapping
"... Abstract—This paper presents a variational formu-lation for real-time dense 3D mapping from a RGB monocular sequence that incorporates Manhattan and piecewise-planar constraints in indoor and outdoor man-made scenes. The state-of-the-art variational approaches are based on the minimization of an ene ..."
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Cited by 2 (1 self)
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Abstract—This paper presents a variational formu-lation for real-time dense 3D mapping from a RGB monocular sequence that incorporates Manhattan and piecewise-planar constraints in indoor and outdoor man-made scenes. The state-of-the-art variational approaches are based on the minimization of an energy functional composed of two terms, the first one accounting for the photometric compatibility in multiple views, and the second one favoring smooth solutions. We show that the addition of a third energy term modelling Manhattan and piecewise-planar structures greatly improves the accuracy of the dense visual maps, particularly for low-textured man-made environments where the data term can be ambiguous. We evaluate two different methods to provide such Manhattan and piecewise-planar constraints based on 1) multiview superpixel geometry and 2) mul-tiview layout estimation and scene understanding. Our experiments include the largest map produced by variational methods from a RGB sequence and demonstrate a reduction in the median depth error up to a factor 5×. I.
Reconstruction of 3D Models from Images and Point Clouds with Shape Primitives
, 2013
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Procedural 3D building reconstruction using . . .
, 2011
"... We propose a novel grammar-driven approach for reconstruction of buildings and landmarks. Our approach complements Structure-from-Motion and image-based anal-ysis with a ‘inverse’ procedural modeling strategy. So far, procedural modeling has mostly been used for creation of virtual buildings, while ..."
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We propose a novel grammar-driven approach for reconstruction of buildings and landmarks. Our approach complements Structure-from-Motion and image-based anal-ysis with a ‘inverse’ procedural modeling strategy. So far, procedural modeling has mostly been used for creation of virtual buildings, while the inverse approaches typically focus on reconstruction of single facades. In our work, we reconstruct complete buildings as procedural models using template shape grammars. In the reconstruction process, we let the grammar interpreter automatically decide on which step to take next. The process can be seen as instantiating the template by determining the correct grammar parameters. As an example, we have chosen the reconstruction of Greek Doric temples. This process significantly differs from single facade segmentation due to the immediate need for 3D reconstruction.
