scholarly journals An Integrated Method for 3D Reconstruction, Dimensional Analysis and Manipulation of an Object Based on Image Processing

2021 ◽  
Vol 10 (4) ◽  
pp. 248-253
Author(s):  
Soham Pinge ◽  
Nitish Wadhavkar, ◽  
Amey Singh ◽  
Amol Deshpande
Keyword(s):  
Image Processing ◽  
3D Reconstruction ◽  
Dimensional Analysis ◽  
Manufacturing Industry ◽  
3D Model ◽  
Volume Estimation ◽  
Integrated Method ◽  
Binary File ◽  
Model Research ◽  
Manual Input

Analysis of dimensions of a product, its visualization as a 3D model & volume estimation, positively impact the operations of manufacturing department in an industry. In this paper, a system has been designed to integrate the proposed features like 3D reconstruction, dimensional analysis & support for manipulating the reconstructed model. Research was carried out to estimate the volume of objects using their virtual 3D model & allow the user to edit this model which later can be compared with the original object, for manipulation. The pictures of an object from different planes are captured and using image processing, it is reconstructed in 3D, which is used to estimate parameters like volume, surface area, maximum dimensions across different planes. This edited 3D model will be utilized for generating a binary file representing the changes. This system provides detailed information to the user along with flexibility, thus enhancing the way in which the manufacturing industry works, as it requires no manual input or interaction once the process begins.

The 3D Reconstruction Technology for the Bone SCT Image

2009 ◽  
Vol 626-627 ◽  
pp. 547-552
Author(s):  
W.J. Wang ◽  
Zheng Hao Ge ◽  
Meng Jiang ◽  
C.L. Li
Keyword(s):  
Image Processing ◽  
Data Collection ◽  
3D Reconstruction ◽  
3D Model ◽  
Processing Algorithm ◽  
Bone Reconstruction ◽  
Image Processing Algorithm ◽  
3D Surface ◽  
Key Technologies ◽  
Image Abstraction

The key technologies about the 3D reconstruction of the bone SCT image for fast biological manufacture is discussed in this paper. Methods for 3D bone reconstruction are studied. Finally, an appropriate method based on bone SCT image is gained. SCT image is preprocessed, binary treated, and contour abstracted by SCT image abstraction system. This method can achieve following aims: processing outline data collection, reversing bone 3D surface and reconstructing 3D bionic model. The example in this work has shown how the 3D model of a bone is obtained through plane reconstructing successfully. Image processing algorithm is concluded, thereby providing necessary information for 3D reconstruction of bone SCT image.

scholarly journals Two-View 3D Reconstruction for Food Volume Estimation

2017 ◽  
Vol 19 (5) ◽  
pp. 1090-1099 ◽  
Author(s):  
Joachim Dehais ◽  
Marios Anthimopoulos ◽  
Sergey Shevchik ◽  
Stavroula Mougiakakou
Keyword(s):  
3D Reconstruction ◽  
Volume Estimation

Egg volume estimation based on image processing and computer vision

2020 ◽  
Vol 283 ◽  
pp. 110041 ◽  
Author(s):  
Cedric Okinda ◽  
Yuwen Sun ◽  
Innocent Nyalala ◽  
Tchalla Korohou ◽  
Samwel Opiyo ◽  
...  
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Volume Estimation ◽  
Egg Volume

Multibeam sonar image processing and three‐dimensional analysis of fish schools

1998 ◽  
Vol 103 (5) ◽  
pp. 2939-2939 ◽  
Author(s):  
Chafiaa Hamitouche ◽  
Valerie Fracasso ◽  
Carla Scalabrin
Keyword(s):  
Image Processing ◽  
Dimensional Analysis ◽  
Three Dimensional ◽  
Multibeam Sonar ◽  
Fish Schools ◽  
Sonar Image

scholarly journals Controlling the Flight of a Drone and Its Camera for 3D Reconstruction of Large Objects

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2333 ◽  
Author(s):  
Simone Mentasti ◽  
Federico Pedersini
Keyword(s):  
3D Reconstruction ◽  
Real Time ◽  
3D Model ◽  
Image Sequence ◽  
Scene Reconstruction ◽  
Entire Process ◽  
Reconstruction Software ◽  
Different Shapes ◽  
User Intervention

In this paper we present a simple stand-alone system performing the autonomous acquisition of multiple pictures all around large objects, i.e., objects that are too big to be photographed from any side just with a camera held by hand. In this approach, a camera carried by a drone (an off-the-shelf quadcopter) is employed to carry out the acquisition of an image sequence representing a valid dataset for the 3D reconstruction of the captured scene. Both the drone flight and the choice of the viewpoints for shooting a picture are automatically controlled by the developed application, which runs on a tablet wirelessly connected to the drone, and controls the entire process in real time. The system and the acquisition workflow have been conceived with the aim to keep the user intervention minimal and as simple as possible, requiring no particular skill to the user. The system has been experimentally tested on several subjects of different shapes and sizes, showing the ability to follow the requested trajectory with good robustness against any flight perturbations. The collected images are provided to a scene reconstruction software, which generates a 3D model of the acquired subject. The quality of the obtained reconstructions, in terms of accuracy and richness of details, have proved the reliability and efficacy of the proposed system.

scholarly journals VRKidney for Serially Sectioned Image Processing and 3D Reconstruction by Using Visible Korean Human Data Set

2011 ◽  
Vol 8 ◽  
pp. 240-247
Author(s):  
Xiaoning Li ◽  
Jie Shi ◽  
Yanjuan Cao ◽  
Jiagang Li ◽  
Anjin Chen ◽  
...  
Keyword(s):  
Image Processing ◽  
3D Reconstruction ◽  
Data Set ◽  
Human Data
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