Scene recognition method based on intelligent mobile terminal

An intelligent mobile terminal and scene recognition technology, applied in the field of scene recognition, can solve problems such as large technical resources, achieve the effects of improving efficiency, efficiently identifying scenes, quickly retrieving, and overcoming weak computing power

Inactive Publication Date: 2013-04-24
KONKA GROUP
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AI Technical Summary

Problems solved by technology

[0005] However, most of these methods are based on template matching, which requires large technical resources and is difficult to implement on mobile smart terminals with limited computing resources.

Method used

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  • Scene recognition method based on intelligent mobile terminal
  • Scene recognition method based on intelligent mobile terminal

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Embodiment Construction

[0027] Below, the present invention will be described in detail with reference to the accompanying drawings.

[0028] Such as figure 1 As shown, this embodiment provides a scene recognition method based on an intelligent mobile terminal. In order to be able to recognize a scene online, the scene to be recognized must first be learned and trained offline.

[0029] First introduce the learning and training of the scene to be recognized in the offline stage, such as figure 1 As shown, it includes the following steps:

[0030] Step 11, collecting images of the scene to be recognized;

[0031] Take several images with recognized scenes as training samples to complete the scene learning task. The user can take more than four images of the scene to represent a scene, and the number of general scenes can reach more than 10,000.

[0032] Step 12, extract feature points;

[0033] After collecting the image of the scene to be recognized, use FCD (Fast Corner Detector, fast corner de...

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Abstract

The invention provides a scene recognition method based on an intelligent mobile terminal. A frequency compression demodulator (FCD) rapid corner point is used for detecting and achieving extraction of image feature points, efficiency of a feature point detecting algorithm is improved, and the defect that calculating capacity of the mobile terminal is poor can be effectively overcome. Through a K-means algorithm, a plurality of pre-set class centers are generated, each class center is used as a visual word and used for a generating method of a follow-up image descriptor, and a limited memory space of the mobile terminal is enabled to achieve large-scaled scene recognition. Further, image descriptors saved in an image data base are clustered through a mean-shift method, the plurality of pre-set class centers are generated, the descriptors input to the images are inserted into one of the plurality of pre-set class centers according the closest distance, a vector distance is calculated, sequence is carried out according to the shortest distance, a method which is used for sequencing first images to be selected by a user is found, and high-efficient quick index of a recognition scene is achieved.

Description

technical field [0001] The present invention relates to the technical field of scene recognition, in particular to a scene recognition method based on an intelligent mobile terminal. Background technique [0002] At present, there are two types of scene recognition methods based on smart mobile terminals. One is based on GPS (Global Positioning System, Global Positioning System) and positioning compass scene recognition methods, that is, embedding GPS and positioning compass on smart mobile terminals, and the GPS and the positioning compass to realize the positioning of the location and direction, and then use the map provided by the geographic information system to determine the current position and direction of the smart mobile terminal and possible scene targets. [0003] However, the scene recognition method based on GPS and positioning compass not only needs to embed GPS and positioning compass in the smart mobile terminal, which increases the manufacturing cost, but al...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/46
Inventor 陈大炜
Owner KONKA GROUP
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