Three-dimensional object detection method based on Hash description and iteration nearest point
A technology that iterates the closest point and three-dimensional objects. It is applied in image data processing, instruments, calculations, etc., and can solve the problems of slow recognition speed and low positioning accuracy.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment
[0091] A three-dimensional object detection method based on hash description and iterative closest point, including a depth camera and a PC, further comprising the following steps:
[0092] S1. The depth camera collects the scene data of the object to be detected;
[0093] S2. The depth camera emits infrared rays to the scene, and the infrared receiver in the depth camera will receive the near-infrared reflection of the scene to generate three-dimensional point data of the scene, that is, the XYZ information of each reflection point in the scene relative to the coordinate system of the depth camera;
[0094] S3. The depth camera transmits the collected scene data to the PC for storage, and the storage format is PLY format;
[0095] S4. Using the scene data in PLY format acquired in S3 to extract the target model M of the detected object;
[0096] S5, the PC calculates the covariance matrix of each point of the three-dimensional model point cloud, obtains the eigenvector of th...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com