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Template subgraph acquisition method and device, processor and electronic device

An acquisition method and sub-image technology, applied in the computer field, can solve the problem of not having the function of characterizing the characteristics of simple strokes, and achieve the effects of improving recognition accuracy, reducing complexity, and efficiently extracting

Pending Publication Date: 2020-06-05
NETEASE (HANGZHOU) NETWORK CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0009] At least some embodiments of the present invention provide a template subgraph acquisition method, device, processor and electronic device to at least solve the problem that the stick figure recognition method provided in the related art is completely manually designed to extract rules, and does not have Technical Problems Characterizing the Functions Characteristic of Stick Figures

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  • Template subgraph acquisition method and device, processor and electronic device
  • Template subgraph acquisition method and device, processor and electronic device
  • Template subgraph acquisition method and device, processor and electronic device

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Embodiment Construction

[0031] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0032] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circ...

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Abstract

The invention discloses a template subgraph acquisition method and device, a processor and an electronic device. The method comprises the following steps: respectively extracting a plurality of key sub-graphs from each sample of a stick figure data set without a label to obtain a key sub-graph set; performing feature extraction processing on each sample in the key sub-graph set to obtain a key sub-graph feature data set; and performing clustering processing on the key sub-graph feature data set to obtain a plurality of template sub-graphs, wherein the key sub-graph feature data set comprises aplurality of sub-graph feature clusters, and the gravity center of each sub-graph feature cluster in the plurality of sub-graph feature clusters corresponds to one template sub-graph. According to the method and the device, the technical problem that a stick figure recognition mode provided in the related technology is completely characterized by manually designing and extracting rules and does not have a function of characterizing stick figure characteristics is solved.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a template subgraph acquisition method, device, processor and electronic device. Background technique [0002] Stick figures usually refer to extracting the most prominent features of an objective image and expressing a general painting with concise strokes. A template subgraph usually refers to a representative partial image that can reflect the characteristics of a class of images. [0003] Accurate and efficient extraction of template subgraphs from stick figures is of great significance for stick figure recognition tasks. After the template subgraph is extracted, the key subgraph (for a single image) can be matched with the template subgraph (that is, the entire image set, which is equivalent to the set of key subgraphs extracted in multiple images) To obtain the stroke semantic features of stick figures for feature training or matching. [0004] Stick figure recognition u...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/462G06F18/23Y02D10/00
Inventor 蔡康
Owner NETEASE (HANGZHOU) NETWORK CO LTD
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