Interactive reconstruction of the 3D-models using single-view images and user markup

Author(s):  
Andrey Fedorov ◽  
Ivan Ivashnev ◽  
Valery Afanasiev ◽  
Valery Krivtsov ◽  
Aleksandr Zatolokin ◽  
...  
Keyword(s):  
2013 ◽  
pp. 604-620
Author(s):  
S. Mohan ◽  
S. Murali

In computer vision, 3D modeling refers to the process of developing 3D representation of the real world objects with systematic procedure. The 3D models can be built based on geometric information about the object or scene to be modeled using CAD/CAM software. However, this approach needs prior knowledge of the objects in the scene like dimension, size of objects, distance from the object to camera, et cetera. To make the 3D models more photo realistic and convenient, images of the objects can be used to build the 3D models. In this chapter, the authors propose a method to extract 3D model from single view perspective image. The approach is based on edge length and exploiting symmetric objects in the scene. Later, an application of touring into picture is discussed with the proposed method.


Author(s):  
F. Tsai ◽  
H. Chang

This paper briefly presents two approaches for effective three-dimensional (3D) building model reconstruction from terrestrial laser scanning (TLS) data and single perspective view imagery and assesses their applicability to the reconstruction of 3D models of landmark or historical buildings. The collected LiDAR point clouds are registered based on conjugate points identified using a seven-parameter transformation system. Three dimensional models are generated using plan and surface fitting algorithms. The proposed single-view reconstruction (SVR) method is based on vanishing points and single-view metrology. More detailed models can also be generated according to semantic analysis of the façade images. Experimental results presented in this paper demonstrate that both TLS and SVR approaches can successfully produce accurate and detailed 3D building models from LiDAR point clouds or different types of single-view perspective images.


Author(s):  
S. Mohan ◽  
S. Murali

In computer vision, 3D modeling refers to the process of developing 3D representation of the real world objects with systematic procedure. The 3D models can be built based on geometric information about the object or scene to be modeled using CAD/CAM software. However, this approach needs prior knowledge of the objects in the scene like dimension, size of objects, distance from the object to camera, et cetera. To make the 3D models more photo realistic and convenient, images of the objects can be used to build the 3D models. In this chapter, the authors propose a method to extract 3D model from single view perspective image. The approach is based on edge length and exploiting symmetric objects in the scene. Later, an application of touring into picture is discussed with the proposed method.


2020 ◽  
pp. 11-15
Author(s):  
A. A. Zubrilin ◽  
M. N. Makarov

The historical perspective provides an overview of how to study flowcharts in a school informatics course. Computer applications and Internet services are considered that automate the development of flowcharts. It is shown how 3D technologies can help an informatics teacher in preparing 3D models for the study of flowcharts.


2018 ◽  
Vol 23 (6) ◽  
pp. 99-113
Author(s):  
Sha LIU ◽  
Feng YANG ◽  
Shunxi WANG ◽  
Yu CHEN

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