University of Toronto

Qualcomm Incorporated

Chen Feng

Shahrokh Valaee

Xiaopeng Zhang

Liang Shen

Anthea Wain Sy Au

Jiaya Jia

Gang Qiu

Xiaoming Zhou

Jilai Wang

Shaojie Zhuo

Xiaokang Zhang

Systems and methods for detecting a live human face in an image are disclosed. The methods and systems are capable of receiving multispectral image data that includes a human face. The multispectral image data can comprise visible light image data and near-infrared (NIR) image data. The multispectral image data can be processed to detect the human face. The detected human face in the visible light image data can be associated with the detected human face in the NIR image data to determine whether the detected human face is a live human face.

Systems and method for facial verification

The present disclosure provides a system, method and computer program for anonymous localization. The location of a mobile device can be determined based on signal strength from one or more access points and a radio map. A radio map can be generated by measuring signal strength at a set of fingerprints, which are a finite set of reference points within the area to be mapped.

System, method and computer program for anonymous localization

Systems and methods for multispectral imaging are disclosed. The multispectral imaging system can include a near infrared (NIR) imaging sensor and a visible imaging sensor. The disclosed systems and methods can be implemented to de-noise a visible light image using a gradient scale map generated from gradient vectors in the visible light image and a NIR image. The gradient scale map may be used to determine the amount of de-noising guidance applied from the NIR image to the visible light image on a pixel-by-pixel basis.

Near infrared guided image denoising

Embodiments described herein provide a system, method and computer program for dynamic radio map generation, which may be used for indoor positioning of one or more mobile devices based on received signal strength (RSS) in some examples. In an aspect, a dynamic scheme may be used to learn the RSS radio map from only a small number of fingerprint samples. Compressive sensing may be applied to build the graph structure and calculate the graph weight in some embodiments. Once the RSS radio map is learned, a mobile device may be located and location based services can be provided to the user in some example embodiments. An indoor learning and positioning system on a mobile device may be used to evaluate the performance. Embodiments described herein may not require a large amount of offline calibrations, which may reduce the labor cost of collecting fingerprints significantly while maintaining a satisfactory level of localization accuracy.

System, method and computer program for dynamic generation of a radio map

The present invention provides a system, method and computer program for anonymous localization. The location of a mobile device can be determined based on received signal strength (RSS) from one or more access points (APs) and a radio map. A radio map can be generated by measuring RSS at a set of fingerprints, which are a finite set of reference points within the area to be mapped.

Growing community of inventors

Markham, Canada

Chen Feng