Apple Inc.

Lejing Wang

Rohit Sethi

Peter Meier

Stefan Misslinger

Thomas Alt

Daniel R Kurz

Devin William Chalmers

Mohamed Selim Ben Himane

Jonathan Pokrass

Samuel Lee Iglesias

Benjamin R Blachnitzky

Nicolai Philip Georg

Lilli I Jonsson

Ji Hyoun Lim

Selim BenHimane

Martin Meloun

Daniel Ulbricht

Sebastian Lieberknecht

Lorenz Kern

Tobias Hall

Touch detection includes obtaining image data for a finger and a target surface, and determining a touch region in the image data on which the fingertip makes contact with the target surface. A pointing direction of the finger in the image data is determined, and a target region is estimated on the target surface based on the touch region and the pointing direction, wherein the touch region comprises a portion of the target surface that extends from the touch region in a direction of the pointing direction.

Finger orientation touch detection

The present disclosure relates to a method of providing at least one image of at least one real object captured by at least one scene camera of a plurality of scene cameras mounted on a vehicle. The method includes: providing camera poses of respective scene cameras of the plurality of scene cameras relative to a reference coordinate system associated with the vehicle, providing user attention data related to a user captured by an information capturing device, providing at least one attention direction relative to the reference coordinate system from the user attention data, determining at least one of the scene cameras among the plurality of scene cameras according to the at least one attention direction and the respective camera pose of the at least one of the scene cameras, and providing at least one image of at least one real object captured by the at least one of the scene cameras.

Method and system for providing at least one image captured by a scene camera of a vehicle

Detecting a touch includes receiving image data of a touching object of a user selecting selectable objects of a target surface, determining a rate of movement of the touching object, in response to determining that the rate of movement satisfies a predetermined threshold, modifying a touch detection parameter for detecting a touch event between the touching object and the target surface, and detecting one or more additional touch events using the modified touch detection parameter.

Speed adapted touch detection

Touch detection may include determining, based on data from an IMU on a first device that monitors movement of a touching object, a touch event, wherein the touch event indicates contact between the touching object and a surface, obtaining a depth image captured by a second device, comprising a touch image, determining a touch point of the object based on the touch image, and providing a response based on the touch point of the object and the touched surface.

IMU for touch detection

The present disclosure relates generally to remote touch detection. In some examples, a first electronic device obtains first image data and second image data about an input, and performs an operation based on the input in accordance with a determination that a set of one or more criteria is met based on the first image data and the second image data. In some examples, a first electronic device causes emission of infrared light by an infrared source of a second electronic device, obtains image data about an input, and performs an operation based on the input in accordance with a determination that a set of one or more criteria is met based on the image data.

Remote touch detection enabled by peripheral device

Generating a 3D model may include determining, based on sensor data from a touch sensor on a first device, a touch event, wherein the touch event comprises a touch on the first device by a touching object. Generating a 3D model may also include, in response to a touch event, obtaining a first image of the touching object by a first camera of the first device, and obtaining, from a second device, a second image of the touching object, wherein the first image of the touching object captures a first view of the touching object, and wherein the second image of the touching object captures a second view of the touching object. A model of the touching object is generated based on the first image and the second image.

Generating a 3D model of a fingertip for visual touch detection

A method for representing virtual information in a view of a real environment is provided that includes: providing a system setup including at least one display device, wherein the system setup is adapted for blending in virtual information on the display device in at least part of the view, determining a position and orientation of a viewing point relative to at least one component of the real environment, providing a geometry model of the real environment, providing at least one item of virtual information and a position of the at least one item of virtual information, determining whether the position of the item of virtual information is inside a 2D or 3D geometrical shape, determining a criterion which is indicative of whether the built-in real object is at least partially visible or non-visible in the view of the real environment, and blending in the at least one item of virtual information on the display device in at least part of the view of the real environment.

Method for representing virtual information in a real environment

Touch detection using a mirror accessory may include obtaining first image data comprising a touching object and a target surface, wherein the first image data captures a scene comprising the touching object and the target surface from the viewpoint of a camera, obtaining second image data comprising the touching object and the target surface, wherein the second image data captures the touching object and the target surface as a reflection in a mirror that is separate from the target surface, determining a pose of the mirror in the scene, determining a pose of the touching object in the scene based on the first image data, the second image data, and the pose of the mirror, and estimating a touch status between the touching object and the target surface based on the determined pose of the touching object and a pose of the target surface.

Mirror accessory for camera based touch detection

In one implementation, a device has a processor, a projector, a first infrared (IR) sensor, a second IR sensor, and instructions stored on a computer-readable medium that are executed by the processor to estimate the sensor-to-sensor extrinsic parameters. The projector projects IR pattern elements onto an environment surface. The first sensor captures a first image including first IR pattern elements corresponding to the projected IR pattern elements and the device estimates 3D positions for first IR pattern elements. The second IR sensor captures a second image including second IR pattern elements corresponding to the projected IR pattern elements and the device matches the first IR pattern elements and the second IR pattern elements. Based on this matching, the device estimates a second extrinsic parameter corresponding to a spatial relationship between the first IR sensor and the second IR sensor.

Estimation of spatial relationships between sensors of a multi-sensor device

Detecting a touch includes determining, from first raw touch data, an estimated touch type for a first plurality of frames, obtaining second raw touch data comprising a probability that a touch has occurred for each of a second plurality of frames, applying the selected filter to the additional raw data to obtain processed data, and detecting whether a touch has occurred for a particular frame based on the processed data.

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Sunnyvale, CA, United States of America

Lejing Wang