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

Monocular vision-based 3D model embedding method in gesture interactive video scene

A video scene, monocular vision technology, applied in user/computer interaction input/output, 3D image processing, data processing input/output process, etc., can solve visual confusion, neglect, gesture and embedded model occlusion relationship Unfixed and other problems to achieve the effect of dealing with occlusion problems

Active Publication Date: 2019-11-29
南京泛在地理信息产业研究院有限公司 +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the augmented reality applications currently ignore the processing of occlusion relations, and the video is only drawn as the background of the virtual model
In gesture-interactive augmented reality applications, gesture interaction is highly dynamic, and the occlusion relationship between gestures and embedded models is not fixed. Drawing the video first and then drawing the embedded model can easily lead to visual confusion.
Although the depth information of the video scene can be obtained by using a depth sensor, or the method of stereo vision by using dual cameras, and the occlusion relationship of the scene can be reconstructed, there are problems in terms of equipment cost or portability

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
  • Monocular vision-based 3D model embedding method in gesture interactive video scene
  • Monocular vision-based 3D model embedding method in gesture interactive video scene
  • Monocular vision-based 3D model embedding method in gesture interactive video scene

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0025] The present invention: a 3D model embedding method based on monocular vision in a gesture interactive video scene, comprising the following steps:

[0026] Step 1: Monocular scene depth reconstruction:

[0027] Use the depth sensor or binocular vision method to obtain the scene depth map, and then register the obtained scene depth map and convert it to the camera coordinate system as the training set of the monocular depth recovery model; use the above training set to recover the monocular depth The network performs migration learning to obtain a monocular depth restoration model suitable for the scene; the scene depth map of the current frame is directly obtained by using the monocular depth restoration model.

[0028] Step 2: Fine Gesture Extraction:

[0029] 2.1) Gesture detection and positioning: perform gesture detection and posit...

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 monocular vision-based 3D model embedding method in a gesture interactive video scene, which belongs to the field of computer graphics and comprises the steps of monocular scene depth reconstruction, fine gesture extraction, 3D model rendering, occlusion judgment and gesture redrawing. According to the monocular vision-based 3D model embedding method in the gesture interactive video scene, the monocular depth recovery technology, the gesture extraction technology, the 3D model rendering technology, the occlusion judgment technology, the gesture redrawing technology and the like are combined, the occlusion relation between the gesture and the model can be effectively processed, and a seamless embedding effect is obtained. Moreover, the shielding problem generated during gesture interaction can be effectively solved, expensive depth detection equipment is not needed, and the actual application requirement is met.

Description

technical field [0001] The invention belongs to the field of computer graphics and relates to a method for embedding a 3D model based on monocular vision in a gesture interactive video scene. Background technique [0002] Augmented reality (Augmented Reality, AR) has the advantages of blending virtual and real, strong expressiveness and good interactivity. By embedding virtual information on images of real scenes, augmented reality technology presents users with an environment with realistic sensory effects. As a natural way of human-computer interaction, gesture interaction is widely used in augmented reality and virtual reality. [0003] Occlusion consistency is the basic principle that the immersive augmented reality environment needs to satisfy, and it requires the correct occlusion relationship between the elements in the augmented reality system. A video image is the projection of a 3D scene on a 2D plane, and restoring the spatial occlusion relationship between the ...

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): G06F3/01G06T7/55G06T7/33G06T7/246G06T15/00
CPCG06F3/017G06T7/55G06T7/33G06T7/246G06T15/005G06F2203/012G06T2207/10016G06T2207/10024G06T2207/10028G06T2207/20081G06T2207/30196
Inventor 胡斌程啸钱程张静怡
Owner 南京泛在地理信息产业研究院有限公司
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