Industrial Technology Research Institute

Osense Technology Co., Ltd.

Jiung-Yao Huang

Juin-Ming Lu

You-Kwang Wang

Hsin-Lung Wu

An image classification system includes a storage device, a computing device and a first processing device. The storage device stores a plurality of pseudo-centroid datasets, wherein the pseudo-centroid datasets correspond to a plurality of units of first image dataset, and the number of pseudo-centroid data points of each of the pseudo-centroid datasets is much smaller than the number of data points of each of the units of first image dataset. The computing device receives the second image data and computes a plurality of feature values of the second image data. The first processing device receives the feature values and the pseudo-centroid datasets, and compares the feature values with the pseudo-centroid data points to identify and classify the second image data.

Image classification system and method

An indoor positioning method, indoor positioning system and indoor maps creating device thereof are provided. The method includes converting a panorama image corresponding to an indoor environment into a plurality of perspective images, and extracting a plurality of reference feature points and descriptors of the reference feature points from the perspective images; taking a shooting position of the panorama image as an origin, and recoding a plurality of 3D reference coordinate values corresponding to a central position of each perspective images; calculating 3D coordinate values of the reference feature points base on the 3D reference coordinate values, and storing the 3D coordinate values and the descriptors of the reference feature points as an indoor map corresponding to the indoor environment. The method also includes determining a 3D target coordinate value of a portable electronic device with respect to the origin of the indoor maps in the indoor environment.

Growing community of inventors

Taoyuan, Taiwan

Jiung-Yao Huang