Nvidia Corporation

Ben Boudaoud

Michael Stengel

Morgan McGuire

Jan Kautz

David Patrick Luebke

Eric Michael Whitmire

Kaan Aksit

Alexander Majercik

Dawid Stanislaw Pajak

Josef Bo Spjut

Joohwan Kim

Pyarelal Knowles

Kamran Binaee

Harish Vutukuru

A cheat detection methodology is disclosed that relates to identifying cheaters making super-human movements in interactive programs. For example, users trying to outcompete their opponents in video games using large aim assists and aim bots that perform actions that are not feasibly human. The disclosed methodology substantially reduces or even eliminates the benefit that various cheating solutions offer. In one aspect, the disclosure provides a method of monitoring cheating in interactive programs. In one example, the method includes: (1) obtaining motion data corresponding to a user input device interacting with an interactive program, (2) segmenting data submovements from the motion data, (3) determining one or more attributes of the data submovements, and (4) detecting, based on the one or more attributes, the data submovements that are a deviation of human submovements.

Submovement-based mouse input cheating detection

A remote device utilizes ray tracing to compute a light field for a scene to be rendered, where the light field includes information about light reflected off surfaces within the scene. This light field is then compressed utilizing one or more video compression techniques that implement temporal reuse, such that only differences between the light field for the scene and a light field for a previous scene are compressed. The compressed light field data is then sent to a client device that decompresses the light field data and uses such data to obtain the light field for the scene at the client device. This light field is then used by the client device to compute global illumination for the scene. The global illumination may be used to accurately render the scene at the mobile device, resulting in a realistic scene that is presented by the mobile device.

Streaming a compressed light field

The disclosure provides features or schemes that improve a user's experience with an interactive computer product by reducing latency through late latching and late warping. The late warping can be applied by imaging hardware based on late latch inputs and is applicable for both local and cloud computing environments. In one aspect, the disclosure provides a method of operating an imaging system employing late latching and late warping. In one example the method of operating an imaging system includes: (1) rendering a rendered image based on a user input from an input device and scene data from an application engine, (2) obtaining a late latch input from the input device, (3) rendering, employing imaging hardware, a warped image by late warping at least a portion of the rendered image based on the late latch input, and (4) updating state information in the application engine with late latch and warp information.

Hardware acceleration and event decisions for late latch and warp in interactive computer products

A gaze tracking system for use by the driver of a vehicle includes an opaque frame circumferentially enclosing a transparent field of view of the driver, light emitting diodes coupled to the opaque frame for emitting infrared light onto various regions of the driver's eye gazing through the transparent field of view, and diodes for sensing intensity of infrared light reflected off of various regions of the driver's eye.

Driver gaze tracking system for use in vehicles

A remote device utilizes ray tracing to compute a light field for a scene to be rendered, where the light field includes information about light reflected off surfaces within the scene. This light field is then compressed utilizing lossless or lossy compression and one or more video compression techniques that implement temporal reuse, such that only differences between the light field for the scene and a light field for a previous scene are compressed. The compressed light field data is then sent to a client device that decompresses the light field data and uses such data to obtain the light field for the scene at the client device. This light field is then used by the client device to compute global illumination for the scene. The global illumination may be used to accurately render the scene at the mobile device, resulting in a realistic scene that is presented by the mobile device.

Streaming a light field compressed utilizing lossless or lossy compression

A gaze tracking system for use in head mounted displays includes an eyepiece having an opaque frame circumferentially enclosing a transparent field of view, light emitting diodes coupled to the opaque frame for emitting infrared light onto various regions of an eye gazing through the transparent field of view, and diodes for sensing intensity of infrared light reflected off of various regions of the eye.

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Efland, NC, United States of America

Ben Boudaoud