Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image depth calculating method

A calculation method and image depth technology, which is applied in the fields of laser triangulation, natural interaction, and image processing, can solve problems such as practical application difficulties, expensive hardware equipment, and algorithm implementation dependencies, so as to facilitate large-scale promotion and simplify the hardware structure , avoid the effect of the depth calculation formula

Active Publication Date: 2013-03-27
NINGBO YINGXIN INFORMATION TECH
View PDF2 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Although the above methods can accurately obtain depth information, the implementation of the algorithm depends on expensive hardware equipment, which brings difficulties to practical applications

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
  • Image depth calculating method
  • Image depth calculating method
  • Image depth calculating method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The present invention will be further described in detail below in conjunction with specific examples.

[0022] In one embodiment, a method for calculating image depth is provided, comprising the following steps:

[0023] 1) Collect a standard speckle pattern with known depth information as a benchmark;

[0024] 2) The input speckle pattern sequence of the target object is collected by the image sensor;

[0025] 3) performing block matching motion estimation on each input speckle pattern in the input speckle pattern sequence and a standard speckle pattern, and generating a motion vector of an image block in the input speckle pattern;

[0026] 4) Obtain the depth information corresponding to the motion vector of each image block in the input speckle image;

[0027] 5) Combining the depth information of all image blocks in the input speckle image to obtain the depth image of the target object.

[0028] The acquisition of the standard speckle pattern can be achieved by ...

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 image depth calculating method. The image depth calculating method is based on an active visual pattern of structure light and adopts a block matching motion estimation method so as to improve matching accuracy. High-resolution depth information of a target object is acquired through the laser trigonometry or a table lookup method, and the image depth calculating method avoids a complicated depth calculating formula, achieves rapid and accurate acquisition of the depth information, simplifies a hardware structure, is easy to achieve, and facilitates large-scale popularization.

Description

technical field [0001] The invention belongs to the technical fields of image processing, laser triangulation ranging, and natural interaction, and in particular relates to an image depth calculation method. [0002] Background technique [0003] Natural and harmonious human-computer interaction is the ideal goal of human beings to control machines, so that machines can understand the commands transmitted by humans in a natural state. Using image processing technology to obtain depth information for real-time recognition of 3D images and motion capture makes it possible for people to interact with terminals in natural ways such as expressions, gestures, and somatosensory actions. Obtaining high-precision image depth information is also one of the technical difficulties in the development of machine vision systems. Image depth information acquisition technology has gradually expanded from game console peripherals to other smart terminals, including smart TVs, smart phones, ...

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): G06T7/00
Inventor 葛晨阳姚慧敏李倩敏葛瑞龙李伟江豪
Owner NINGBO YINGXIN INFORMATION TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products