Motorola Mobility LLC

Yinhu Chen

Daniel Maack Bloom

Valeriy F Marchevsky

Susan Yanqing Xu

Weihua Sun

Peter A Matsimanis

Dejan Depalov

A method, a system, and a computer program product for calibrating a depth sensor of a device. The method includes simultaneously capturing within a current scene: a red-green-blue (RGB) image by a RGB sensor of a device; and an infrared (IR) image by an IR sensor of the device. The method further includes concurrently capturing, via an IR sensor of the device, an uncalibrated depth image within the current scene. The method further includes calculating calibration data from the RGB image and the IR image and applying the calibration data to the uncalibrated depth image to generate a corrected depth image. The method further includes combining the RGB image and the corrected depth image to generate a RGB depth image. The method further includes, presenting the RGB depth image on an output device.

Dynamically calibrating a depth sensor

A method, a device, and a computer program product for background image replacement in image data. The method includes receiving, from at least one image sensor of a device, frame data. The device generates a first depth map based on the received frame data. The device generates first foreground image data and first background image data, based on the first frame data and the first depth map. The method further includes determining a least used color in the first foreground image data. The least used color is identified as a first background color. The method also includes generating modified frame data by replacing the first background image data with the first background color and storing the modified frame data to a memory of the device.

Dynamic chroma key for video background replacement

A method, system, and computer program product for an image capturing device having at least two cameras to obtain a focus point of a current scene. The method includes in response to performing a focus procedure via at least one camera of the image capturing device, determining whether a focus point has been found. The method further includes, in response to determining the focus point has not been found: (1) adjusting a number of focus scan steps of an auxiliary focus procedure utilized by only the at least one auxiliary camera and (2) performing the auxiliary focus procedure using the adjusted number of focus scan steps. The method further includes determining whether the focus point has been found, and in response to determining the focus point has been found, automatically synchronizing, to a main lens of the main camera, a current position of the lens of the at least one auxiliary camera.

Capturing an image using multi-camera automatic focus

A method, system, and computer program product to obtain a focus point of a current scene. The method includes performing a first focus procedure in a first direction via a main lens of a main camera of an image capturing device having at least two cameras. The method further includes concurrently performing a second autofocus procedure in a second direction that is opposite the first direction via at least one auxiliary lens of at least one auxiliary camera. The method further includes identifying a focus point within autofocus data collected during the first and second focus procedure. The method further includes, in response to determining the focus point was identified by the at least one auxiliary camera: terminating the first focus procedure; and automatically synchronizing a position of the main lens to that of the at least one auxiliary lens.

Identifying a focus point in a scene utilizing a plurality of cameras

Various embodiments provide improved image resolution using a High Dynamic Range (HDR) image sensor. A computing device calculates long exposure settings and short exposure settings for image sensors of a computing device. The long exposure settings and the short exposure settings are applied to a first image sensor of the image sensors, and only the short exposure settings are applied to a second image sensor of the image sensors. Some embodiments use an interleaved High Dynamic Range (iHDR) image sensor as the first image sensor, and a Clear or Mono image sensor for the second image sensor. Various embodiments generate a synchronized image that includes a first image generated by the first image sensor and a second image generated by the second image sensor. Upon receiving the synchronized image, some embodiments fuse the first image and the second image to improve the image resolution of the first image capture.

High dynamic range sensor resolution using multiple image sensors

Various implementations provide different image adjustment parameters for post-processing a multi-frame image generated from multiple individual images. A computing device includes an image sensor that is configured to capture and generate multiple images of a scene. The multiple images are then aligned and pixel values of the aligned images are combined to generate a multi-frame image with reduced image noise and improved image sharpness in comparison to each of the multiple images. The computing device then applies different adjustment parameters to the multi-frame image in order to generate an output image that provides a high-quality representation of the scene. In implementations, the computing device automatically selects and applies adjustment parameters to a multi-frame image based on a number of individual images used to create the multi-frame image.

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Deerfield, IL, United States of America

Yinhu Chen