Pipes Information Recognition and 3D Model Reconstruction Based on DWGDirect

2013 ◽  
Vol 427-429 ◽  
pp. 2454-2457
Author(s):  
Hong Yi Li ◽  
Xi Wen ◽  
Di Zhao

This paper mainly discusses the 3D reconstruction of pipelines from 2D DWG format files, which are widely used in architectural design, municipal planning and so on. To address this nontrivial problem, a novel method is proposed, which consists of two steps. In the first step, the entity information is extracted from DWG format files based on the DWGDirect technology. Subsequently, a 3D modeling procedure is followed by using OpenSceneGraph and the extracted entity information. Several experimental instances are given to demonstrate the validity of the proposed method.

2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Mika Salmi

Most of the 3D printing applications of preoperative models have been focused on dental and craniomaxillofacial area. The purpose of this paper is to demonstrate the possibilities in other application areas and give examples of the current possibilities. The approach was to communicate with the surgeons with different fields about their needs related preoperative models and try to produce preoperative models that satisfy those needs. Ten different kinds of examples of possibilities were selected to be shown in this paper and aspects related imaging, 3D model reconstruction, 3D modeling, and 3D printing were presented. Examples were heart, ankle, backbone, knee, and pelvis with different processes and materials. Software types required were Osirix, 3Data Expert, and Rhinoceros. Different 3D printing processes were binder jetting and material extrusion. This paper presents a wide range of possibilities related to 3D printing of preoperative models. Surgeons should be aware of the new possibilities and in most cases help from mechanical engineering side is needed.


2016 ◽  
Vol 20 (4) ◽  
pp. 1
Author(s):  
Yifu Chen ◽  
Zhong Xie ◽  
Zhenge Qiu ◽  
Min Zhang ◽  
Saishang Zhong

With the development of computer vision and high-precision 3D model reconstruction, used for the measurement and 3D reconstruction of the geological landslides, acquiring a high-precision relative orientation basing multiple images is crucial and the key point to ensuring and improving the accuracy of 3D model and space position. Currently, the conventional relative orientation model includes five independent parameters. For the linear relative orientation model, there are nine parameters to construct the linear space geometric relationship between the imaging and space point. To eliminate the impact of more parameterization and improve the accuracy and stability of solved parameters for the conventional direct relative orientation model, a new relative orientation model with seven constraints is proposed and validated in this paper. The additional constraints are derived from the orthogonal property of the rotation matrix of a stereo imaging pair and associated with the least squares adjustment to obtain a high-precision result of the relative orientation. Through the accuracy assessment using space position, it is revealed that the new proposed model is more advantage for the conventional type of direct relative orientation, especially at 3D model reconstruction and close range photogrammetric and applications for the geological landslides measurement. El modelo de orientación relativa directa con siete restricciones para la medida de deslizamientos de tierra y reconstrucción tridimensional ResumenCon el desarrollo del entorno computacional y la alta precisión del modelo de reconstrucción tridimensional, utilizados para la medida y reconstrucción de desprendimientos geológicos, es crucial la obtención de la orientación relativa de alta precisión basada en imágenes múltiples y es el punto clave para asegurar y mejorar la exactitud del modelo 3D y la posición espacial. Actualmente el modelo de orientación relativa incluye cinco parámetros independientes. En el modelo linear de orientación relativa hay nueve parámetros para construir la relación geométrica espacial linear entre el sondeo y la posición espacial. Para eliminar el impacto de más parametrización y mejorar la exactitud y la estabilidad de los parámetros resueltos el modelo de orientación relativa convencional, este artículo propone y valida un nuevo modelo de orientación relativa con siete restricciones. Las restricciones adicionales se derivan de la propiedad ortogonal de la matriz de rotación de la imagen estéreo y se asocian con el ajuste de los cuadrados mínimos para obtener un resultado de alta precisión de la orientación relativa. Al medir la exactitud con la posición espacial se revela que el nuevo modelo propuesto tiene más ventajas que aquel de orientación relativa directa, especialmente en el modelo de reconstrucción 3D y en las aplicaciones fotográmetricas de rango cercano para la evaluación de desprendimientos geológicos.


2020 ◽  
Vol 3 (2) ◽  
pp. 108-113
Author(s):  
Moch.d Kholil ◽  
Ismanto Ismanto ◽  
M. Nur Fu’ad

With the development of the field of Information and Computer Technology (ICT), three-dimensional technology (3D) is also growing rapidly. Currently, the need to visualize 3D objects is widely used in animation and graphics applications, architecture, education, cultural recognition and virtual reality. 3D modeling of historical buildings has become a concern in recent years. 3D reconstruction is a documentation effort for reconstruction or restoration if the building is destroyed. By using a 3D model reconstruction approach based on multiple images using the Structure From Motion (SFM) and Multi View Stereo (MVS) algorithm, it is hoped that the 3D modeling results can be used as an effort to preserve 3D objects in the cultural heritage area of Penataran Temple. This research was conducted by taking an object in the form of photos as many as 61 pictures in the area of ​​the Blitar Penataran Temple. The resulting photos are reconstructed into a 3D model using the Structure From Motion algorithm in the meshroom. In this study, a test was carried out on the original image with the compressed image for reconstruction to be compared to the 3D reconstruction process from the two input data. From 61 images processed using the Structure Form Motion algorithm, 33 camera pose and 3D point data were obtained, both original and compressed images. For the number of iterations the compressed image is 1.4% less than the original image and takes 43.53% faster than the original image.  


2021 ◽  
Vol 6 (2) ◽  
pp. 327-334
Author(s):  
Khang Truong Giang ◽  
Soohwan Song ◽  
Daekyum Kim ◽  
Sunghee Choi

Author(s):  
Yuki Harazono ◽  
Hirotake Ishii ◽  
Hiroshi Shimoda ◽  
Yasuyoshi Taruta ◽  
Yuya Kouda

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