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System and method for three-dimensional reconstruction of commodity

A 3D reconstruction and commodity technology, applied in the field of computer vision and 3D reconstruction, can solve problems such as the inability to meet the needs of consumer experience, and achieve the effect of retaining the original information of point clouds, optimizing the registration process, and reducing the number of point clouds

Active Publication Date: 2019-01-01
NORTHEASTERN UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] In today's society, e-commerce is booming, but traditional e-commerce platforms can only display products to consumers through two-dimensional pictures or videos, which can no longer meet the consumer experience needs of the "Internet +" era

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  • System and method for three-dimensional reconstruction of commodity

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Embodiment Construction

[0065] In order to better explain the present invention and facilitate understanding, the present invention will be described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0066] The present invention provides a method for three-dimensional reconstruction of commodities, the method comprising:

[0067] S1. Obtain at least three point cloud images of commodities from different perspectives;

[0068] S2, based on the SAC-IA-ICP algorithm, register the point clouds of two adjacent point cloud images in all point cloud images to eliminate the offset between adjacent point clouds;

[0069] S3. Using an improved Poisson surface reconstruction algorithm to reconstruct a complete 3D surface model of the product from all the registered point clouds.

[0070] Optionally, in an e-commerce application, the above method may further include the following step S4.

[0071] S4. Use the lighting renderer to perform color rendering and lighting ...

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Abstract

The invention provides a commodity three-dimensional reconstruction system and a reconstruction method, wherein, the method comprises the following steps: S1, obtaining at least three point cloud images of commodities from different angles of view; S2, based on SAC-IA-ICP algorithm registers the point cloud of two adjacent point cloud images in order to eliminate the deviation between adjacent point cloud images. S3, adopting the improved Poisson surface reconstruction algorithm to reconstruct the complete three-dimensional surface model of the merchandise for all the point clouds after registration; S4, color rendering and illumination rendering are carried out on the commodity three-dimensional curved surface model by using an illumination renderer to obtain a three-dimensional commoditymodel that can be displayed. The three-dimensional commodity model constructed in the above method is more prominent in detail and more obvious in geometrical features. The effect is more real and the global shape and detail features of the commodity are truly restored.

Description

technical field [0001] The invention relates to a computer vision and three-dimensional reconstruction technology, in particular to a commodity three-dimensional reconstruction system and reconstruction method. Background technique [0002] 3D reconstruction technology is a technology that digitizes actual 3D objects and reproduces them in the computer using computer technology. 3D reconstruction technology involves many disciplines, covering professional knowledge of computer graphics, computer vision, computer science, robotics, image processing, artificial intelligence and other disciplines. 3D reconstruction technology plays an important role in the fields of 3D commodity display, human-computer interaction, protection and restoration of cultural relics, augmented reality, reverse engineering, film and television entertainment, etc. [0003] As an active projection and non-contact depth sensor, Kinect is deeply loved by friends from all walks of life and researchers bec...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00G06T19/20
CPCG06T17/00G06T19/20
Inventor 贾同薛宇陈东岳侯明亚
Owner NORTHEASTERN UNIV
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