Texas Instruments Corporation

Vinay Sharma

Goksel Dedeoglu

Vivienne Sze

Peter Charles Barnum

Bruce E Flinchbaugh

Darnell J Moore

Manasvi Tickoo

Frank Sharp

Deborah K Thomas

A mobile device, such as a smart phone, is provided with a camera. Digital content displayed on display screen of the mobile device may be manipulated in response to natural movements of the mobile device by a user. Motion of the mobile device is detected relative to a nearby textured surface by analyzing images of the textured surface. The displayed digital content is manipulated in response to the detected motion of the mobile device.

Using natural movements of a hand-held device to manipulate digital content

A method and apparatus for depth-fill algorithm for low-complexity stereo vision. The method includes utilizing right and left images of a stereo camera to estimate depth of the scene, wherein the estimated depth relates to each pixel of the image, and updating a depth model with the current depth utilizing the estimated depth of the scene.

Method and apparatus for depth-fill algorithm for low-complexity stereo vision

A method for enabling physical controls in a digital system is provided that includes receiving an image of an illuminated surface in the digital system, wherein the image is captured by a camera in the digital system, determining a state of a physical control mounted on the illuminated surface by analyzing the image; and outputting an indication of the state of the physical control.

Enabling physical controls on an illuminated surface

A method for using structured light in a handheld projection device is provided that includes projecting a structured light pattern in at least one portion of a frame being projected by the handheld projection device, wherein the at least one portion of the frame is a subset of the frame, capturing an image of the projected frame, computing scene depth information based on the structured light pattern in the captured image, and using the scene depth information in processing of a subsequent frame of the video stream.

Opportunistic structured light

A method of camera pose estimation is provided that includes capturing a model image of a scene at a canonical camera pose, generating an image library from warped images of the model image and the model image, wherein each warped image is a transformation of the model image at a different pre-determined camera pose, capturing an image of the scene as a user moves the camera, reporting the current camera pose as a camera pose of the image when the image is acceptable, conditionally adding the first image to the image library when the first image is acceptable, and re-initializing the current camera pose to a camera pose selected from the image library when the first image is not acceptable.

Camera pose estimation

For detecting an obstacle with a camera, a first image is viewed by the camera at a first location during a first time. Points on a surface would project onto first pixels of the first image. A second image is viewed by the camera at a second location during a second time. The points on the surface would project onto second pixels of the second image. Coordinates of the second pixels are identified in response to coordinates of the first pixels, in response to a displacement between the first and second locations, and in response to a distance between the camera and the surface. The obstacle is detected in response to whether the first pixels substantially match the second pixels.

Method, system and computer program product for detecting an obstacle with a camera

A method for touch detection performed by a touch processor in an optical touch detection system is provided that includes receiving an image of an illuminated surface included in the optical touch detection system, wherein the image is captured by a camera included in the optical touch detection system, subtracting a background model from the image to generate a mean-subtracted image, identifying a set of candidate touch locations in the mean-subtracted image, classifying the candidate touch locations in the set of candidate touch locations to generate a set of validated candidate touch locations, and outputting a set of final touch locations determined from the set of validated candidate touch locations.

Detecting and tracking touch on an illuminated surface using a mean-subtracted image

A mobile device, such as a smart phone, is provided with a camera and a projector. A user may select a still image or a video sequence and project it onto a viewing surface using the mobile device. Once the viewer selects a preferred perspective view frame, the image frame may be pinned to the viewing surface. After that, the viewer may move the projector to different positions while holding the projector, or sit the projector on a table and the viewed image will be maintained in the same perspective view frame as the initial selected view.

Maintaining distortion-free projection from a mobile device

A method for wave gesture detection performed by a touch processor in an optical touch detection system is provided. The method includes receiving a sequence of images of an illuminated surface comprised in the optical touch detection system, wherein the images are captured by a camera comprised in the optical touch detection system, detecting a wave gesture performed in front of the illuminated surface by analyzing the sequence of images, and outputting an indication that a wave gesture has been detected.

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Dallas, TX, United States of America

Vinay Sharma