scholarly journals Probabilistic indexing: a new method of indexing 3D model data from 2D image data

2002 ◽  
Author(s):  
C.F. Olson
Keyword(s):  
3D Model ◽  
Image Data ◽  
New Method ◽  
Model Data ◽  
Probabilistic Indexing

scholarly journals AUTOMATIC CO-REGISTRATION OF AERIAL IMAGERY AND UNTEXTURED MODEL DATA UTILIZING AVERAGE SHADING GRADIENTS

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 581-588 ◽  
Author(s):  
S. Schmitz ◽  
M. Weinmann ◽  
B. Ruf
Keyword(s):  
3D Model ◽  
Image Data ◽  
Aerial Imagery ◽  
Aerial Photographs ◽  
Model Data ◽  
Mesh Model ◽  
3D Data ◽  
Reprojection Error ◽  
Camera Pose ◽  
2D And 3D

<p><strong>Abstract.</strong> The comparison of current image data with existing 3D model data of a scene provides an efficient method to keep models up to date. In order to transfer information between 2D and 3D data, a preliminary co-registration is necessary. In this paper, we present a concept to automatically co-register aerial imagery and untextured 3D model data. To refine a given initial camera pose, our algorithm computes dense correspondence fields using SIFT flow between gradient representations of the model and camera image, from which 2D&amp;ndash;3D correspondences are obtained. These correspondences are then used in an iterative optimization scheme to refine the initial camera pose by minimizing the reprojection error. Since it is assumed that the model does not contain texture information, our algorithm is built up on an existing method based on Average Shading Gradients (ASG) to generate gradient images based on raw geometry information only. We apply our algorithm for the co-registering of aerial photographs to an untextured, noisy mesh model. We have investigated different magnitudes of input error and show that the proposed approach can reduce the final reprojection error to a minimum of 1.27&amp;thinsp;&amp;plusmn;&amp;thinsp;0.54 pixels, which is less than 10% of its initial value. Furthermore, our evaluation shows that our approach outperforms the accuracy of a standard Iterative Closest Point (ICP) implementation.</p>

Research on Construction of Semantic Web of 3D Model Database

2012 ◽  
Vol 532-533 ◽  
pp. 1263-1267
Author(s):  
Hui Jia ◽  
Guo Hua Geng ◽  
Jin Xia Yang
Keyword(s):  
Semantic Web ◽  
3D Model ◽  
3D Model Retrieval ◽  
New Method ◽  
Three Dimension ◽  
Semantic Extension ◽  
Model Retrieval ◽  
Semantic Relevance ◽  
Model Database

This paper presented a new method to construct semantic web of three-dimension model database based on ontology. Firstly we build ontology of three-dimension model database, according the model to extract classes, objects and attributes. Secondly utilize WordNet which is an English ontology to expand original ontology node to semantic extension node, including synonym, hypernym, hyponym and holonym. Experiment result shows that this method not only effectively expands the semantic vocabularies of a 3D model database, but also keeps good semantic relevance of the expanded vocabularies to the original ones, so as to achieve semantic based 3D model retrieval effectively.

A PRACTICAL APPROACH FOR 3D BUILDING MODELING FROM UNCALIBRATED VIDEO SEQUENCES

2002 ◽  
Vol 02 (02) ◽  
pp. 287-307 ◽  
Author(s):  
YONG LIU ◽  
CHENG-KE WU ◽  
HUNG-TAT TSUI
Keyword(s):  
Structure From Motion ◽  
3D Model ◽  
Simulated Data ◽  
Image Data ◽  
Video Sequences ◽  
Real Image ◽  
Building Modeling ◽  
Critical Configurations ◽  
Motion Problem ◽  
Fundamental Matrices

This paper presents an approach for reconstructing a realistic 3D model of a building from its uncalibrated video sequences taken by a hand-held camera. The novelty of this approach lies in the integration of some prior scene knowledge in the different stages of the Structure From Motion problem (SFM). First, the coplanarity of buildings is considered in the calculation of the fundamental matrices to deal with the critical configurations. Second, the line parallelism and plane orthogonality are transformed to the constraints on the absolute quadric during camera auto-calibration. This makes some critical cases solvable and the reconstruction more Euclidean. The approach is implemented and validated using simulated data and real image data. The experimental results at the end of the paper show the effectiveness of our approach.

Prediction of forest stem volume using kriging adapted to detected edges

2002 ◽  
Vol 32 (3) ◽  
pp. 509-518 ◽  
Author(s):  
Jörgen Wallerman ◽  
Steve Joyce ◽  
Coomaren P Vencatasawmy ◽  
Håkan Olsson
Keyword(s):  
Interpolation Method ◽  
Image Data ◽  
Field Measurements ◽  
Spatial Prediction ◽  
Detection Algorithm ◽  
New Method ◽  
Planning System ◽  
Stem Volume ◽  
Landsat Tm Image ◽  
Very High Spatial Resolution

The modern techniques of the global positioning system and geographic information system enable many new approaches to forestry planning problems. Using these it is possible to efficiently geoposition, store, and analyze each field measurement in a spatial context. This work is directed towards the application of a dynamic forestry planning system based on a forest map with very high spatial resolution created from geopositioned field plot data, instead of the traditional forest stand map. The new dynamic system is dependent on accurate methods to create a high-resolution map from a set of field measurements. This problem may be solved using the kriging spatial prediction (interpolation) method. The aim of this paper is to present and empirically evaluate a new kriging method side-by-side with global and stratified kriging. The new method uses the output from an edge-detection algorithm, here applied to Landsat TM image data, to increase the prediction accuracy. Prediction evaluation was made in terms of mean forest stem volume per hectare measured on circular field plots of 10 m radius. The new method showed a prediction root mean square error of 41% of the mean volume, compared with corresponding results of global, 58%, and stratified kriging, 45%.

A New Method for Determining the Chip Geometry in Milling

2006 ◽  
Vol 526 ◽  
pp. 7-12
Author(s):  
M. San Juan ◽  
Francisco Santos Martin ◽  
T. de la Fuente ◽  
S. Aranda
Keyword(s):  
Cutting Forces ◽  
3D Model ◽  
Cutting Process ◽  
New Method ◽  
Fem Simulations ◽  
New Development ◽  
Experimental Cutting ◽  
Chip Geometry

Frequently, to validate FEM simulations of the cutting process it is compared the predicted results with the experimental cutting forces. In addition, other parameters are measured and it is possible to predict the chip geometry in some particular conditions. This paper presents a new development of the photogrammetry and its applications in the study of the chip geometry. In the orthogonal milling case, it is possible to obtain a 3D model of the deformed chip employing photogrammetry digitization techniques.

Kinematics Simulation and Design of Work Elements of Demolition Robot Based on Virtual Prototype

2012 ◽  
Vol 479-481 ◽  
pp. 1565-1569 ◽  
Author(s):  
Gui Mao Si ◽  
Jun Wei Liu ◽  
Jun Zhang ◽  
Xiao Jing Meng
Keyword(s):  
3D Model ◽  
Simulation Experiment ◽  
Virtual Prototype ◽  
Maximum Depth ◽  
New Method ◽  
Interference Detection ◽  
Maximum Height ◽  
Maximum Radius ◽  
Kinematics Simulation ◽  
Work Envelope

Work Scope is key performance to the Demolition robot and is also a major factor consider to the users. CATIA and ADAMS were employed to design the 3D model and do the kinematics simulation to complete the design of work element of Demolition Robot. Parameters of assembly and interference detection of the 3D model was checked in the CATIA before taking the kinematics simulation experiment. The simulated result indicated that maximum radius, maximum depth and maximum height of Demolition Robot could be obtained, variance of forces at key articulated points and scope of work envelope diagram were presented, which provides a new method to analyze and design Demolition Robot.

scholarly journals Research and Application of the 3D Model of Beijing in Urban Planning Based on Oblique Photogrammetry

2021 ◽  
Author(s):  
Yanzhi Sun ◽  
Xi Wei ◽  
Tongsheng Zhang
Keyword(s):  
Urban Planning ◽  
High Precision ◽  
Urban Governance ◽  
3D Model ◽  
Smart Cities ◽  
Accuracy Assessment ◽  
Basic Data ◽  
Model Data ◽  
Aerial Photogrammetry ◽  
Verification Methods

In recent years, with the accelerated development of the urbanization and the continuous emergence of the smart cities, the new requirements and the challenges have been raised for the urban governance and the urban planning. Based on the oblique aerial photogrammetry technology and the 3D automatic modelling technology, this study constructs the high-precision basic data of the 3D urban model of Beijing and verifies the 3D model’s precision comprehensively by using two verification methods: the point accuracy assessment and the plane accuracy assessment. And then, using the validated 3D model data and taking the demolition of the illegal buildings in urban planning as an example, an application of the 3D model is studied in the simulated environmental scenes of the urban planning, which also provides a reference for the development of the smart cities in the future.

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