Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Managing a secure session includes detecting a login event at an electronic device using a first login method to initiate a secure session, capturing an initial image at a same time as the login event, capturing initial sensor data at the same time as the login event, monitoring for changes in the sensor data during the secure session, maintaining the secure session based on the initial sensor data and the monitored changes from the initial sensor data, and during the secure session, permitting access to the electronic device using reidentification.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method of analyzing a depth image in a digital system is provided that includes detecting a foreground object in a depth image, wherein the depth image is a top-down perspective of a scene, and performing data extraction and classification on the foreground object using depth information in the depth image.

Abstract: A method for touch detection that is performed by a touch processor in an optical touch detection system is provided. The method includes receiving an image of an illuminated surface in the optical touch detection system, wherein the image is captured by a camera in the optical touch detection system, identifying a set of candidate touch locations in the image, classifying the candidate touch locations in the set of candidate touch locations to generate a set of validated candidate touch locations, wherein classifying the candidate touch locations includes using a machine learning classifier to classify each candidate touch location as valid or invalid, wherein the machine learning classifier is trained to classify a candidate touch location based on a combination of features of the candidate touch location, and outputting a set of final touch locations.

Abstract: A method of analyzing a depth image in a digital system is provided that includes detecting a foreground object in a depth image, wherein the depth image is a top-down perspective of a scene, and performing data extraction and classification on the foreground object using depth information in the depth image.

Abstract: A method of analyzing a depth image in a digital system is provided that includes detecting a foreground object in a depth image, wherein the depth image is a top-down perspective of a scene, and performing data extraction and classification on the foreground object using depth information in the depth image.

Abstract: A method and apparatus for tracking objects across images. The method includes retrieving object location in a current frame, determining the appearance and motion signatures of the object in the current frame, predicting the new location of the object based on object dynamics, searching for a location with similar appearance and motion signatures in a next frame, and utilizing the location with similar appearance and motion signatures to determine the final location of the object in the next frame.

Abstract: A method of processing a digital video sequence is provided that includes detecting a foreground object in an image captured by a depth camera, determining three-dimensional (3D) coordinates of the foreground object, and comparing the 3D coordinates to a 3D video tripwire to determine if the foreground object has crossed the 3D video tripwire. A method of defining a 3D video tripwire is also provided.

Abstract: 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.

Abstract: 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.

Abstract: 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.