Hardware implementation method and system for real-time extraction and selection of video stream feature points

A hardware implementation and feature point technology, applied in the field of computer vision, can solve the problems of inability to complete high-speed video stream real-time processing tasks, increase the error of pose estimation, poor real-time performance, etc. Centralized and highly parallelized effects

Pending Publication Date: 2022-07-01
XI AN JIAOTONG UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method will result in more features extracted from areas with rich textures, and no feature points in areas with weak textures. The uneven distribution of feature points in space will easily lead to an increase in the error of pose estimation, making this method more accurate. Poor, not suitable for engineering applications in actual scenarios
[0005] For this reason, for the

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Hardware implementation method and system for real-time extraction and selection of video stream feature points
  • Hardware implementation method and system for real-time extraction and selection of video stream feature points
  • Hardware implementation method and system for real-time extraction and selection of video stream feature points

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0062] In the description of the present invention, it is to be understood that the terms "comprising" and "comprising" indicate the presence of the described features, integers, steps, operations, elements and / or components, but do not exclude one or more other features, The existence or addition of a whole, step, operation, element, component, and / or a collection thereof.

[0063] It should also be understood that the terminology used in t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a hardware implementation method and system for real-time extraction and selection of video stream feature points, and aims at effectively improving the speed of an algorithm by simplifying combinational logic on a critical path and designing a four-point parallel processing and pipeline structure; in order to solve the problems of poor real-time performance and low precision in the feature point selection process, by optimizing an image cache structure and designing a feature point register and a block selection and storage structure, the calculation amount is effectively reduced, and the precision and speed of an algorithm are improved.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a hardware implementation method and system for real-time extraction and selection of feature points of a video stream. Background technique [0002] Simultaneous localization and mapping (SLAM, Simultaneous Localization and Mapping), which refers to a mobile platform equipped with specific sensors, without current environmental information, constructs an environmental map model in the process of movement, and estimates its own positioning at the same time. As the premise of autonomous navigation tasks for mobile robots, this technology has always been a research hotspot in the field of robotics. Among them, visual SLAM using cameras as the main sensor will have broad application prospects in the future due to its advantages of low cost and rich information. [0003] In visual SLAM, the feature point processing part in the front-end visual odometry is a cruci...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06V20/40G06V10/94G06V10/44
Inventor 耿莉李佳霖龚一帆张良基雷莹
Owner XI AN JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap