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Three-dimensional point cloud reconstruction method based on multiple uncalibrated images

A technology of 3D point cloud and image calibration, applied in the field of computer vision, can solve problems such as cumbersome algorithm process, slow speed, poor reconstruction accuracy, etc., and achieve the effect of reducing calculation time, increasing speed, and reducing corresponding processes

Active Publication Date: 2017-04-26
XIDIAN UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a 3D point cloud reconstruction method based on multiple uncalibrated images, aiming to solve the problems of tedious traditional algorithm process, poor reconstruction accuracy and slow speed

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  • Three-dimensional point cloud reconstruction method based on multiple uncalibrated images
  • Three-dimensional point cloud reconstruction method based on multiple uncalibrated images
  • Three-dimensional point cloud reconstruction method based on multiple uncalibrated images

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Embodiment Construction

[0024] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0025] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0026] Such as figure 1 As shown, the 3D point cloud reconstruction method based on multiple unmarked images provided by the embodiment of the present invention includes the following steps:

[0027] S101: Use cameras, mobile phones and other devices to obtain image sequences of objects taken at different angles as an input set; obtain feature matching point pairs of images through feature extraction and matching, and perform dense diffusion processing on the pairs;

[0028] S102: Ac...

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Abstract

The invention discloses a three-dimensional point cloud reconstruction method based on multiple uncalibrated images. The method comprises the following steps: obtaining the image sequence of objects shot at different angles as an input set; obtaining feature matching point pairs of images through feature extraction and matching, and carrying out dense diffusion treatment; selecting feature points of candidate images as seed points to be matched, diffused and filtered towards the peripheral area of the points, and obtaining the dense matching point pairs; calibrating a camera, and combining the matching point pairs to obtain internal and external parameters; recovering a three-dimensional model point according to camera parameters and the matching point pairs; carrying out reconstruction, selecting seed model points to generate initial patches, and diffusing the patches in the grid area to obtain dense patches; and filtering error patches according to constraint conditions, and obtaining an accurate dense three-dimensional point cloud model. According to the method, the high-precision dense point cloud model can be quickly obtained, the generation speed of the model is quickened, the accuracy of matching density is increased, and the density and accuracy of three-dimensional point cloud are improved.

Description

technical field [0001] The invention belongs to the technical field of computer vision, in particular to a three-dimensional point cloud reconstruction method based on multiple uncalibrated images. Background technique [0002] With the rapid development of science and technology, 3D stereoscopic models are widely used in various fields. Such as virtual reality, video games, animation of movies, pattern recognition, scene understanding, protection and restoration of cultural relics, 3D printing, etc. 3D reconstruction technology and the technological innovations it brings are changing all aspects of people's lives. Therefore, how to improve various algorithms in the process and make the reconstruction process more convenient and reliable has great research significance. The 3D reconstruction problem is one of the important research directions in the field of computer vision. Its purpose is to recover the 3D information of a scene or object from multiple images for subsequen...

Claims

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Application Information

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IPC IPC(8): G06T17/00G06T7/80G06K9/62
CPCG06T17/00G06T2207/10016G06F18/22
Inventor 王泉杨鹏飞万波田玉敏魏琪黄领
Owner XIDIAN UNIV
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