Microsoft Technology Licensing, LLC

Amazon Technologies, Inc.

Abhinav Kashyap

Lorenzo Sorgi

Eliezer Rosengaus

Leo Benedict Baldwin

Gerard Guy Medioni

Dilip Kumar

Manoj Aggarwal

Jean Laurent Guigues

Jeffrey Barr

Rajeev Ranjan

Shuai Yue

Baomin Wang

Michael Lim

Prachi Pradhan

Joshua Engelsma

Sarah M Langehennig

A camera system includes a housing and camera modules (e.g., digital cameras) that are aligned with fields of view that extend below the housing. The camera modules are provided about a perimeter of the housing and mounted to a bench within the housing. Two camera modules have axes of orientation extending below and away from a centroid of the camera system. Two camera modules have axes of orientation extending below and toward the centroid of the camera system. The housing includes inlets and outlets that enable air to flow past the camera modules and other components within the housing. Images captured by the camera modules of the camera system may be utilized for any purpose.

Hybrid omnidirectional camera systems

A biometric identification system acquires a multimodal image. The system is trained to determine three embeddings: a first embedding associated with features present in a first modality, an intersection embedding associated with features present in both the first and a second modality, and an XOR embedding associated with features that are not shared between the first modality and the second modality. Once trained, the system may process a multimodal query image to determine query embedding data. Additional information, such as minutiae depicted in the multimodal query image may also be determined. The query embedding data, and in some implementations the additional information, may be compared with enrolled embedding data associated with a previously enrolled user. If the comparison exceeds a threshold value, an identity may be asserted.

System for single image multimodal biometric recognition

Described are systems and methods for generating high dynamic range ('HDR') images based on image data obtained from different image sensors for use in detecting events and monitoring inventory within a materials handling facility. The different image sensors may be aligned and calibrated and the image data from the sensors may be generated at approximately the same time but at different exposures. The image data may then be preprocessed, matched, aligned, and blended to produce an HDR image that does not include overexposed regions or underexposed regions.

Aligning and blending image data from multiple image sensors

High dynamic range imaging for event detection and inventory management

A 'Predictive Controller' operates with any type of controller or user input device to predict user inputs or responses to a current state of an application. A predictive model of the current state of the application is applied to prior user inputs to jointly predict a current user-specific psychological state or profile of the user and a predicted next user response or input. The predicted response or input is provided as the user input to the particular application prior to receiving the actual user input, thereby reducing latency of the response of the application to that actual user input. In addition, a tangible feedback corresponding to the predicted next user input is provided. Further, the predictive capabilities of the Predictive Controller can be applied to locally or remotely hosted instances of the application to reduce latencies associated with user inputs received from any type of controller or user input device.

Predictive controller adapting application execution to influence user psychological state

This disclosure describes techniques to compensate for changes in a depth of field of a camera caused by changes in orientation of the camera (e.g., tilt) and changes in the temperature of the camera. For instance, the described techniques may utilize an actuator, such as a voice-coil motor, of the camera to adjust an image distance of the camera lens to compensate for changes in the depth of field of the camera caused by changes in the orientation of the camera and/or changes in temperature of the camera. One or more models may be generated using calibrated input current values for the voice-coil motor which indicate, for various changes in orientation and temperature of the camera, input current values to cause the voice-coil motor to adjust the image distance of the camera to maintain the desired depth of field.

Compensating for orientation and temperature related changes in camera focus

Predictive controller for applications

Apparatus for controlling a plurality of active illumination cameras to operate in a time division multiplexed operating mode to acquire images of scenes that the cameras image.

Synchronizing active illumination cameras

Apparatus for controlling a plurality of active illumination cameras to operate in a frequency division multiplexed operating mode to acquire images of scenes that the cameras image.

Apparatus for controlling a plurality of active illumination range cameras to operate in a time division multiplexed operating mode to acquire range images of scenes that the cameras image.

Growing community of inventors

Redmond, WA, United States of America

Abhinav Kashyap