Google Inc.

Beijing Kuangshi Technology Co., Ltd.

Pinhole (beijing) Technology Co., Ltd.

Shuchang Zhou

Xinyu Zhou

Andrew C Gallagher

Zhiheng Wang

Chen Wang

Qi Yin

Edward Y Chang

Liyong Chen

Yuxin Wu

Cong Yao

Steven Maxwell Seitz

Chi Zhang

Faen Zhang

David Robert Gallup

Anup Mantri

Lingwei Ma

Fangtao Li

Jianan Wu

Peiqin Sun

Weiran He

Dieqiao Feng

Yongqiang Huang

Yuchao Pan

Andrew Gallagher

The orientation of imagery relative to a compass bearing may be determined based on the position of the sun or other information relating to celestial bodies captured in the image.

Determining compass orientation of imagery

The embodiments of this disclosure provide a face spatial positioning method, apparatus and system, and a non-transitory recording medium. The method includes: obtaining a facial image acquired by an image acquisition device; performing facial area detection on the facial image, to determine position information of a facial area in the facial image; and determining spatial position information of the face according to the position information of the facial area. Accordingly, the embodiments of this disclosure can determine spatial position information of the face according to the facial image acquired by only one image acquisition device, no additional image acquisition device is needed, which can reduce the cost and ensure the processing efficiency.

Face spatial positioning method, face spatial positioning system, and non-transitory computer-readable recording medium

The present disclosure provides an object detection method, an object detection device, an object detection system and a storage medium. The object detection method includes: acquiring an image to be processed; and inputting the image to be processed into a neural network to obtain a feature map outputted by the neural network. The feature map includes position channels and attribute channels; the position channels include at least one group of candidate position information respectively corresponding to at least one candidate position of at least one prediction object in the image to be processed; and the attribute channels include at least one group of candidate attribute information respectively corresponding to the at least one candidate position.

Object detection method, device, system and storage medium

Embodiments of the present disclosure provide an image detection method, apparatus and system and a non-volatile storage medium. The image detection method includes: compressing an initial image to obtain a compressed image; performing a target detection on the compressed image to obtain a first position information of a target object in the compressed image; and determining a second position information of the target object in the initial image based on the first position information.

Image detection method, apparatus and system and storage medium

A method, a device and a computer program product for determining a geographical location of a user are disclosed. The method comprises: extracting characters or icons in an image taken at a place where the user is located; analyzing the extracted characters or icons to determine a meaning of the characters or the icons; and determining the geographical location of the user based on the meaning of the characters or the icons. With the method, the device and the computer program product, the geographical location of the user may be accurately determined in various scenarios.

Determination of a geographical location of a user

Original data that represents a real-world object or activity and organized along three or more dimensions is received. The original data is represented as a product of several multipliers including a sparse core, such that the sparse core has fewer non-zero values than a tensor representation of the original data, and one or more unitary matrix multipliers. Modified data is generated based on the original data using the multipliers. This includes compressing, or reconstructing missing elements in, the tensor representation of the original data, such that the modified data provides a description of the real-world object or activity that is less complete or more complete, respectively, relative to the original data.

Decomposition techniques for multi-dimensional data

Provided are an image processing method and a client device, an image authentication method and a server device. The image processing method comprises: photographing an object to obtain a first image; sending a key acquiring request to a server and receiving a key from the server; generating a second image based on the key and the first image; and sending the second image to the server. The image authentication method comprises: receiving a key acquiring request from a client; generating a key and sending the key to the sever in response to the key acquiring request; receiving an image for authentication from the client; and authenticating the image for authentication by using the key.

Image processing method and client device, image authentication method and server device

There are provided a focusing point determining method and apparatus. The focusing point determining method comprises: obtaining a view-finding image within a view-finding coverage; identifying a significance area in the view-finding image; and extracting at least one focusing point from the identified significance area. By identifying the significance area in the view-finding image and extracting at least one focusing point from the identified significance area, the focusing point determining method and apparatus can ensure accuracy of a selected focusing point to a certain extent, so as to ensure accuracy of focusing.

Focusing point determining method and apparatus

Provided are a liveness authentication method and apparatus. The method comprises: filtering out light of a first predetermined waveband from incident light incident to a first area; detecting an intensity of the filtered light as a first light intensity; and determining that a liveness authentication is failed in the case that the first light intensity satisfies a predetermined condition. The liveness authentication is performed through determining whether the incident light is cold light. In the case that the incident light is light emitted from a liquid crystal display screen, it is determined that the incident light is the cold light, and it is determined that the liveness authentication is failed.

Liveness authentication method and apparatus

Provided are a liveness authentication method and apparatus, which perform liveness authentication by determining whether incident light is linear polarized light. The liveness authentication method comprises: making incident light incident to a set of polarizing filters not overlapped with each other in a light transmission direction; detecting, for each of the set of polarizing filters, an intensity of light transmitting through the polarizing filter, so as to obtain a set of light intensities corresponding to respective polarizing filters of the set of polarizing filters respectively; and determining that the liveness authentication is failed in the case that the set of light intensities satisfy a predetermined condition. In the case that the incident light is light emitted from a liquid crystal display screen, the incident light is the linear polarized light, and thus the liveness authentication is failed.

A computer-implemented method can include receiving, at a computing device having one or more processors, questions and answers, each question having one or more answers, and each question and each answer being associated with a particular user. The method can include receiving, at the computing device, evaluations of the answers from users. The method can include identifying, at the computing device, at least one of textual and contextual features for each answer to obtain sets of features. The method can include generating, at the computing device, a user preference graph indicating relationships between users associated with at least one of the questions, the answers, and the evaluations. The method can also include detecting, at the computing device, whether each specific answer is a deceptive answer based on its set of features and the user preference graph.

Techniques for detecting deceptive answers to user questions based on user preference relationships

Disclosed here are methods and systems that relate to determining an orientation of an object. The orientation of the object may be represented by an Euler angle which identifies a rotation of the object from a reference frame. The methods and systems may rely on readings collected from two or more barometric pressure sensors to estimate an altitude difference between the pressure sensors. The methods and systems may calculate the Euler angle based on the altitude difference.

Barometric pressure sensor based orientation measurement

Aspects of the present disclosure provide techniques for constructing a scalable model of an indoor space using crowd-sourced inertial navigation system (INS) signals from mobile devices. By tracking INS signals from a number of participating users, the user's trajectories can be estimated as they move their mobile devices indoors. The estimated trajectories can be scored against similar routes taken by other users. Routes with the highest scores are then laid out over a map of the indoor space to identify areas most often traveled to and from landmarks and distances between the landmarks.

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Beijing, China

Shuchang Zhou