Indoor scene understanding method based on 2D-3D semantic data set

A technology for indoor scenes and data sets, applied in the field of scene understanding, can solve the problems of ignoring the semantic information of image content and differences in image understanding
CN106709481AInactive Publication Date: 2017-05-24SHENZHEN WEITESHI TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN WEITESHI TECH
Publication Date
2017-05-24
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses an indoor scene understanding method based on a 2D-3D semantic data set. The indoor scene understanding method comprises the main content of collection, arrangement, training and test division of data and comprises the following steps: firstly capturing an image, outputting a scanning region, an original color depth image (RGB-D) and a 3D texture grid, sampling the grid to generate point clouds, carrying out semantic annotation on the data, projecting each point label to a 3D grid and an image field, and representing certain regions with concentrated data to parts with similar buildings in aspects of appearances and architectural features, so as to define standard training and test division. According to the semantic data set disclosed by the invention, cross-modal study models and non-supervision methods can be developed and united by virtue of rules existing in large-scale indoor spaces; powerful prompts are provided for the detection of semanteme, layout, shields, shapes and modes; and the indoor scene understanding method is not limited by scale, diversity and number.
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Description

technical field

[0001] The invention relates to the field of scene understanding, in particular to an indoor scene understanding method based on a two-dimensional-three-dimensional semantic data set. Background technique

[0002] The recognition and understanding of indoor scenes is one of the key technologies of intelligent information processing. Related research results have been successfully applied in different fields, such as target tracking, pedestrian detection and face detection and recognition in the field of security protection, Internet information Image content retrieval in the field, target search, scene understanding, obstacle detection in the field of intelligent robots, rescue in smart homes and dangerous environments, etc., make people's work and life more convenient. Therefore, the recognition and understanding of indoor scenes is of great importance. Theoretical research significance and engineering application value.

[0003] Traditional image resource ...

Claims

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