Method of using fully convolutional neural network to segment human hand area in stop-motion animation

A convolutional neural network and stop-motion animation technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as error-prone
CN108010049AInactive Publication Date: 2018-05-08SOUTH CHINA UNIV OF TECH

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
SOUTH CHINA UNIV OF TECH
Publication Date
2018-05-08
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a method of using a fully convolutional neural network to segment a human hand area in a stop-motion animation. The method comprises steps: 1) data inputting is carried out; 2)the fully convolutional network is used for feature extraction and preliminary segmentation; 3) a conditional random field (CRF) algorithm is used to optimize the segmentation effects; 4) the networkmodel is trained; and 5) the model which completes the training is used to segment an inputted picture. The method disclosed in the invention mainly aims to solve the problem that through self building a picture data set containing the human hand area, the network model is built, and the data set is used to train the network model. After training, the network model can carry out high-accuracy segmentation on the human hand area. The method of using the fully convolutional neural network to segment the human hand area in the stop-motion animation has the advantages of high accuracy, good anti-noise performance, simple use, high efficiency, quick speed and the like.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the fields of computer graphics and stop-motion animation production, in particular to a method for segmenting human hand regions in stop-motion animation using a fully convolutional neural network. Background technique

[0002] Stop-motion animation is to shoot animations one by one, and then play these animations to form a continuous animation film. Although more computer-aided design and 3D technology are used in animation generation, stop-motion animation is still a unique branch in the animation industry. It still has an important charm and occupies a certain weight in the industry. The shooting method of stop-motion animation usually requires some kind of support to support the object to be photographed to form various actions, and then use different methods to erase the support in the later stage of animation production. After erasing the support, it can Make objects appear to animate themselves. The support is usually...

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