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SSIFT (Saliency Scale Invariant Feature Transform) algorithm based quick locating and navigating method for large indoor venue

A navigation method and algorithm technology, applied in the field of positioning and navigation, can solve the problems of insufficient positioning accuracy and increased mismatching, and achieve the effect of fast positioning speed

Inactive Publication Date: 2017-05-31
NANHUA UNIV
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Problems solved by technology

[0026] The simplification algorithm ssift combines several steps and reduces the 128-dimensional vector to 12-dimensional. The existing problems are the increase of mismatching and insufficient positioning accuracy.

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  • SSIFT (Saliency Scale Invariant Feature Transform) algorithm based quick locating and navigating method for large indoor venue
  • SSIFT (Saliency Scale Invariant Feature Transform) algorithm based quick locating and navigating method for large indoor venue
  • SSIFT (Saliency Scale Invariant Feature Transform) algorithm based quick locating and navigating method for large indoor venue

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Embodiment Construction

[0061] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0062] A fast positioning and navigation method for large indoor venues based on the SSIFT algorithm, the process is as follows figure 1 As shown, follow the steps below:

[0063] Step 1, establish a site vector map;

[0064] Step 2, all scene photos are stored in the database, corresponding to the map location information;

[0065] Step 3, the handheld device obtains the scene photo;

[0066] Step 4, using the ssift algorithm to match with the database pho...

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Abstract

The invention discloses an SSIFT (Saliency Scale Invariant Feature Transform) algorithm based quick locating and navigating method for a large indoor venue. The quick locating and navigating method comprises the following steps of establishing a site vector map; storing all scene photos in a database, and making the scene photos corresponding to the position information of the map; obtaining a scene photo by a handheld device; matching the scene photo with the photos in the database by adopting an ssift algorithm; listing out all matched photos, selecting the photo corresponding to an own position by a user; obtaining the position information, and carrying out subsequent treatment. The method can be applicable to the quick location and navigation of the large indoor venue.

Description

technical field [0001] The invention belongs to the technical field of positioning and navigation, and relates to a fast positioning and navigation method for large indoor venues based on the SSIFT algorithm. Background technique [0002] Compared with outdoor positioning methods, indoor positioning is more difficult, including software and hardware and supporting platforms and other reasons. Therefore, the application of indoor positioning and navigation has just begun. At present, the commonly used indoor positioning methods mainly rely on short-range wireless sensors, such as Bluetooth, Zigbee, Rfid, Wifi, etc., which estimate the distance based on the time interval of signal transmission or reception or the strength of the signal. This method brings great inconvenience to customers' indoor navigation. First, the merchant's indoor needs to arrange relevant sensing equipment in a fixed position, and the customer must also have a device for receiving relevant signals; in a...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/29G06F16/5838G06F16/9537
Inventor 刘立伍大清汪琳霞刘芳菊李开运梁广贤林强朱龙伟
Owner NANHUA UNIV
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