Sri International

Sarnoff Corporation

Iristrac, LLC

Oleg Naroditsky

Rakesh Kumar

Supun Samarasekera

Zhiwei Zhu

Taragay Oskiper

Harpreet Singh Sawhney

James Russell Bergen

James Regis Matey

Michael Tinker

Thomas M Zappia

Dominick Lolacono

Janet Kim

Janet Yonga Kim Knowles

Targay Oskiper

A system and method for generating a mixed-reality environment is provided. The system and method provides a user-worn sub-system communicatively connected to a synthetic object computer module. The user-worn sub-system may utilize a plurality of user-worn sensors to capture and process data regarding a user's pose and location. The synthetic object computer module may generate and provide to the user-worn sub-system synthetic objects based information defining a user's real world life scene or environment indicating a user's pose and location. The synthetic objects may then be rendered on a user-worn display, thereby inserting the synthetic objects into a user's field of view. Rendering the synthetic objects on the user-worn display creates the virtual effect for the user that the synthetic objects are present in the real world.

System and method for generating a mixed reality environment

A system and method for efficiently locating in 3D an object of interest in a target scene using video information captured by a plurality of cameras. The system and method provide for multi-camera visual odometry wherein pose estimates are generated for each camera by all of the cameras in the multi-camera configuration. Furthermore, the system and method can locate and identify salient landmarks in the target scene using any of the cameras in the multi-camera configuration and compare the identified landmark against a database of previously identified landmarks. In addition, the system and method provide for the integration of video-based pose estimations with position measurement data captured by one or more secondary measurement sensors, such as, for example, Inertial Measurement Units (IMUs) and Global Positioning System (GPS) units.

Unified framework for precise vision-aided navigation

A method of capturing image data for iris code based identification of vertebrates, including humans, comprises the steps of:

Method of capturing image data for iris code based identification of vertebrates

A method of normalizing a digital image of an iris of an eye for the purpose of creating an iris code for identification of vertebrates, including humans, the method comprising the steps of:

Method of normalizing a digital image of an iris of an eye

The present invention pertains to a method of generating a normalized digital image of an iris of an eye for the purpose of creating an iris code for identification of vertebrates, including humans, the method comprising the steps of:

Method of generating a normalized digital image of an iris of an eye

A method for estimating pose from a sequence of images, which includes the steps of detecting at least three feature points in both the left image and right image of a first pair of stereo images at a first point in time; matching the at least three feature points in the left image to the at least three feature points in the right image to obtain at least three two-dimensional feature correspondences; calculating the three-dimensional coordinates of the at least three two-dimensional feature correspondences to obtain at least three three-dimensional reference feature points; tracking the at least three feature points in one of the left image and right image of a second pair of stereo images at a second point in time different from the first point in time to obtain at least three two-dimensional reference feature points; and calculating a pose based on the at least three three-dimensional reference feature points and its corresponding two-dimensional reference feature points in the stereo images. The pose is found by minimizing projection residuals of a set of three-dimensional reference feature points in an image plane.

Stereo-based visual odometry method and system

A method and apparatus for strobed image capture includes stroboscopic illumination synchronized with one or more cameras to improve a signal to noise ratio, reduce motion blur and avoid object damage in sensor systems used to analyze illumination sensitive objects.

Growing community of inventors

Princeton, NJ, United States of America

Oleg Naroditsky