Exposure method and apparatus

An exposure method and exposure time technology, applied in the field of exposure, can solve problems such as poor adaptability, overexposure or underexposure of objects, and achieve the effect of improving detection rate and ensuring accuracy

Inactive Publication Date: 2017-04-26
INT INTELLIGENT MACHINES CO LTD
View PDF4 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention provides an exposure method and device to solve the problem that the existing camera exposure method has poor adaptability t

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
  • Exposure method and apparatus
  • Exposure method and apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0053] In the field of face recognition technology for robots, the quality of face imaging pictures acquired by robots is very important for face recognition. However, using the current exposure method of traditional cameras, under low-light or backlight conditions, under-exposure or over-exposure will easily cause the robot to fail to detect and recognize valid faces.

[0054] Based on this, the present invention provides an exposure method, which is applied 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 provides an exposure method and apparatus. The method comprises the following steps: obtaining a global picture; calculating the global average gray value of the global picture; determining whether the global average gray value meets a preset global target gray scale condition or not; when the global average gray value does not meet the preset global target gray scale condition, adjusting the exposure magnitude of the camera; when the global average gray value meets the preset global target gray scale condition, detecting the object in the global picture and obtaining the local picture with the object; calculating the local average gray value of the local picture; determining whether the local average gray value meets a preset local target gray scale condition or not; and when the local average gray value does not meet the preset local target gray scale condition, adjusting the exposure magnitude of the camera. According to the invention, the self-adaptive exposure of a global picture and the self-adaptive exposure of a local object are integrated for use in a mutually assisting manner, which maximally satisfies the lighting condition for imaging required by the human face of a target object.

Description

technical field [0001] The invention relates to the field of exposure technology, in particular to an adaptive camera exposure method and device for fusing global and local objects in a picture. Background technique [0002] With the popularization of deep learning technology and massive data in machine vision, more and more camera-based machine vision products are becoming mature. However, robustness has always been a major criticism in the field of vision. In addition to the impact of deep neural network and massive training data on the stability of products based on visual inspection and recognition, the hardware itself also has a great impact on the recognition effect. Under complex lighting conditions, such as low illumination and backlighting, the quality of the pictures captured by the camera seriously restricts the accuracy of computer vision algorithms. [0003] The camera exposure size is mainly determined by the opening and closing of the aperture, the exposure ...

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): H04N5/235
CPCH04N23/71H04N23/73H04N23/743
Inventor 周禄兵黄巍伟苗振伟
Owner INT INTELLIGENT MACHINES CO LTD
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