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It is known that laser scanners can provide accurate, dense and raw 3D data of large scenarios but, in order to obtain a representative 3D model of the scene, such information needs to be hardly processed. This research field, named automatic construction of building models, is a challenging topic which is has been progressing over the last five years. This paper presents an overview that covers all of our research in this field. Our method follows a sequential 3D data processing strategy composed by multiple algorithms which aim to obtain a 3D basic model on furnished interiors. The approach computes a Boundary Representation Model (B-Rep) of the scene and, with the help of Radio Frequency Identification (RFID) technologies, is able to recognize and precisely place pieces of furniture into the B-Rep model, thus generating a simplified accurate semantic 3D model of the inhabited interior. Extended experimentation of the method has been carried out in real scenarios with laser scanner data yielding encouraging results.

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Author image not provided  Antonio Adán

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Publication years1998-2016
Publication count32
Citation Count70
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Average citations per article2.19
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Author image not provided  Enrique Valero

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Publication years2007-2014
Publication count4
Citation Count2
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top of pagePUBLICATION

Title 3DV '14 Proceedings of the 2014 Second International Conference on 3D Vision - Volume 02 table of contents
Pages 95-102
Publication Date2014-12-08 (yyyy-mm-dd)
PublisherIEEE Computer Society Washington, DC, USA ©2014
ISBN: 978-1-4799-7000-1 doi>10.1109/3DV.2014.50

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top of pageTable of Contents

Proceedings of the 2014 Second International Conference on 3D Vision - Volume 02
Table of Contents
Cover Art - Volume 2
Pages: C1
doi>10.1109/3DV.2014.132
Title Page i - Volume 2
Pages: i
doi>10.1109/3DV.2014.117
Title Page iii - Volume 2
Pages: iii
doi>10.1109/3DV.2014.118
Copyright Page - Volume 2
Pages: iv
doi>10.1109/3DV.2014.119
Preface to Workshop 1: Dynamic Shape Measurement and Analysis 2014
Pages: viii
doi>10.1109/3DV.2014.121
Workshop 1 Keynote Address
Pages: x
doi>10.1109/3DV.2014.128
Preface to Workshop 2: Geometry Analysis and Processing Using Functional Maps
Pages: xi
doi>10.1109/3DV.2014.124
Workshop 2 Keynote Addresses
Pages: xii-xvii
doi>10.1109/3DV.2014.129
Preface to Workshop 3: 3D Computer Vision in the Built Environment
Pages: xviii
doi>10.1109/3DV.2014.125
Workshop 3 Keynote Address
Pages: xx
doi>10.1109/3DV.2014.130
Kinect Deform: Enhanced 3D Reconstruction of Non-rigidly Deforming Objects
Hassan Afzal, Kassem Al Ismaeil, Djamila Aouada, François Destelle, Bruno Mirbach, Björn Ottersten
Pages: 7-13
doi>10.1109/3DV.2014.114

In this work we propose Kinect Deform, an algorithm which targets enhanced 3D reconstruction of scenes containing non-rigidly deforming objects. It provides an innovation to the existing class of algorithms which either target scenes with rigid objects ...
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4D Capture Using Visibility Information of Multiple Projector Camera System
Ryusuke Sagawa, Nozomu Kasuya, Yoshinori Oki, Hiroshi Kawasaki, Yoshio Matsumoto, Ryo Furukawa
Pages: 14-21
doi>10.1109/3DV.2014.70

In this paper, we propose a method with multiple cameras and projectors for 4D capture of moving objects. The issues of previous 4D capture systems are that the number of cameras are limited, and the number of images is very large to capture the sequence ...
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Quantized Census for Stereoscopic Image Matching
Rilwan Remilekun Basaru, Chris Child, Eduardo Alonso, Greg Slabaugh
Pages: 22-29
doi>10.1109/3DV.2014.83

Current depth capturing devices show serious drawbacks in certain applications, for example ego-centric depth recovery: they are cumbersome, have a high power requirement, and do not portray high resolution at near distance. Stereo-matching techniques ...
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Querying 3D Mesh Sequences for Human Action Retrieval
Christos Veinidis, Ioannis Pratikakis, Theoharis Theoharis
Pages: 33-40
doi>10.1109/3DV.2014.103

In this paper, the unsupervised human action retrieval problem in 3D mesh sequences is addressed. An action is represented by a mesh sequence wherein each frame is represented by a static shape descriptor. Six state-of-the-art static descriptors are ...
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Semantic Parametric Reshaping of Human Body Models
Yipin Yang, Yao Yu, Yu Zhou, Sidan Du, James Davis, Ruigang Yang
Pages: 41-48
doi>10.1109/3DV.2014.47

We develop a novel approach to generate human body models in a variety of shapes and poses via tuning semantic parameters. Our approach is investigated with datasets of up to 3000 scanned body models which have been placed in point to point correspondence. ...
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Temporal Octrees for Compressing Dynamic Point Cloud Streams
Marcos Slomp, Hiroshi Kawasaki, Ryo Furukawa, Ryusuke Sagawa
Pages: 49-56
doi>10.1109/3DV.2014.79

Range-based scanners built upon multiple cameras and projectors offer affordable, entire-shape and high-speed setups for 3D scanning. The point cloud streams produced by these devices require large amounts of storage space. Compressing these datasets ...
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Non-rigid Registration with Reliable Distance Field for Dynamic Shape Completion
Kent Fujiwara, Hiroshi Kawasaki, Ryusuke Sagawa, Koichi Ogawara, Katsushi Ikeuchi
Pages: 57-64

We propose a non-rigid registration method for completion of dynamic shapes with occlusion. Our method is based on the idea that an occluded region in a certain frame should be visible in another frame and that local regions should be moving rigidly ...
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A 3D Segmentation and Visualization Scheme for Solid and Non-solid Lung Lesions Based on Gaussian Filtering Regularized Level Set
Liansheng Wang, Huangjing Lin, Xiaoyang Huang, Boliang Wang, Yiping Chen
Pages: 67-74
doi>10.1109/3DV.2014.110

The segmentation of Lung lesions is a challenging task because of the complexity of lung lesions surroundings. Lung lesions can be categorized into two types: solid and non-solid. Lots of works have been developed previously to segment one of two types, ...
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3D Liver Vessel Reconstruction from CT Images
Xing-Chen Pan, Hong-Ren Su, Shang-Hong Lai, Kai-Che Liu, Hurng-Sheng Wu
Pages: 75-81
doi>10.1109/3DV.2014.96

We propose a novel framework for reconstructing 3Dliver vessel model from CT images. The proposed algorithm consists of vessel detection, vessel tree reconstruction and vessel radius estimation. First, we employ the tubular-filter based approach to detect ...
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Surface Detection Using Round Cut
Vedrana A. Dahl, Anders B. Dahl, Rasmus Larsen
Pages: 82-89
doi>10.1109/3DV.2014.60

We propose an iterative method for detecting closed surfaces in a volumetric data, where an optimal search is performed in a graph build upon a triangular mesh. Our approach is based on previous techniques for detecting an optimal terrain-like or tubular ...
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Furnished Interiors Modeling with Laser Scanners and RFID
Antonio Adán, Enrique Valero
Pages: 95-102
doi>10.1109/3DV.2014.50

It is known that laser scanners can provide accurate, dense and raw 3D data of large scenarios but, in order to obtain a representative 3D model of the scene, such information needs to be hardly processed. This research field, named automatic construction ...
expand
Interactive Mapping of Indoor Building Structures through Mobile Devices
Giovanni Pintore, Marco Agus, Enrico Gobbetti
Pages: 103-110
doi>10.1109/3DV.2014.40

We present a practical system to map and reconstruct multi-room indoor structures using the sensors commonly available in commodity smart phones. Our approach combines and extends state-of-the-art results to automatically generate floor plans scaled ...
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Automated gbXML-Based Building Model Creation for Thermal Building Simulation
Chao Wang, Yong K. Cho
Pages: 111-117
doi>10.1109/3DV.2014.109

In the area of as-is BIM creation from point cloud, researchers start digging the potential of using point cloud as 3D scenes of the construction job site to monitor construction progresses and safety. However, limited contribution was made in the AEC/FM ...
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Building Modeling through Enclosure Reasoning
Adam Stambler, Daniel Huber
Pages: 118-125
doi>10.1109/3DV.2014.65

This paper introduces a method for automatically transforming a point cloud from a laser scanner into a volumetric 3D building model based on the new concept of enclosure reasoning. Rather than simply classifying and modeling building surfaces independently ...
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Detecting Ambiguity in Localization Problems Using Depth Sensors
Pierluigi Taddei, Carlos Sánchez, Antonio L. Rodríguez, Simone Ceriani, Vítor Sequeira
Pages: 129-136
doi>10.1109/3DV.2014.44

We describe a method to identify ambiguous poses during tracking and localization based on depth sensors. In particular we distinguish between ambiguities related to specific acquisitions (track ambiguities) that hinder a good registration of the current ...
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A Methodology for Creating Large Scale Reference Models with Known Uncertainty for Evaluating Imaging Solution
Marc-Antoine Drouin, Jean-Angelo Beraldin, Luc Cournoyer, Louis Borgeat, David MacKinnon, Guy Godin, Jonathan Fournier
Pages: 137-144
doi>10.1109/3DV.2014.104

We propose a methodology for acquiring reference models with known uncertainty of complex building-sized objects. Those can be used to quantitatively evaluate the performance of passive 3D reconstruction when working at large scale. The proposed methodology ...
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Toward Automated Spatial Change Analysis of MEP Components Using 3D Point Clouds and As-Designed BIM Models
Vamsi Sai Kalasapudi, Yelda Turkan, Pingbo Tang
Pages: 145-152
doi>10.1109/3DV.2014.105

The architectural, engineering, construction and facilities management (AEC-FM) industry is going through a transformative phase by adapting new technologies and tools into its change management practices. AEC-FM Industry has adopted Building Information ...
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Matching Many Identical Features of Planar Urban Facades Using Global Regularity
Eduardo B. Almeida, David B. Cooper
Pages: 153-160
doi>10.1109/3DV.2014.107

Reasonable computation and accurate camera calibration require matching many interest points over long baselines. This is a difficult problem requiring better solutions than presently exist for urban scenes involving large buildings containing many windows ...
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Author Index - Volume 2
Pages: 161
doi>10.1109/3DV.2014.115
Publisher's Information - Volume 2
Pages: 162
doi>10.1109/3DV.2014.116

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