Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: For backlit face detection, an apparatus includes a main camera and an auxiliary camera that capture image data of photographic subject matter. The main camera and auxiliary camera are located on the same surface of the apparatus. The apparatus further includes a processor that increases an exposure level of the auxiliary camera to expose a dark region in response to the photographic subject matter being a backlit scene. Here settings the main camera are unaffected by increasing the exposure level of the auxiliary camera. The processor also searches for a face within the dark region using auxiliary image data captured with the increased exposure level. Additionally, the processor adjusts an exposure setting of the main camera based on face information received from the auxiliary camera in response to a face being present within the dark region.

Abstract: A camera system may include an image sensor to generate real-time image data of a scene having a subject. A pose evaluator can generate a pose metric signal having a pose value that provides a variable measure of a pose quality for the subject in the scene. A pose feedback indicator can provide user-perceptible feedback demonstrating the value of the pose metric signal, such that the variable measure of the pose quality is provided.

Abstract: Systems and methods of smile detection are disclosed. An exemplary method comprises generating a search map (400) for a subset of an image (300). The method also comprises identifying a plurality of candidates (400a-f) representing mouth corners. The method also comprises generating parabolas (410) between each pair of candidates representing mouth corners. The method also comprises analyzing contour of at least one of the parabolas to determine whether the mouth curves substantially upward to form a smile or curves substantially downward to form a frown.

Abstract: A device to apply detection schemes to texture information of a face detected within an image to generate mouth corner candidates and identify best matching mouth corners by applying a geometric model to the moth corner candidates.

Abstract: Devices and methods for automatic monitoring of fluid of a patient are disclosed, comprising a patient line, a transfer disk which receives the fluid and controllably transfers the fluid to test substrates, and a sensor disk which houses the test substrates. The sterile transfer disk may be configured to maintain the sterility of the patient sampling assembly while transferring samples to non-sterile components, such as the sensor disk.

Abstract: Devices and methods for automatic monitoring of fluid of a patient are disclosed, comprising a patient line, a transfer disk which receives the fluid and controllably transfers the fluid to test substrates, and a sensor disk which houses the test substrates. The sterile transfer disk may be configured to maintain the sterility of the patient sampling assembly while transferring samples to non-sterile components, such as the sensor disk.

Abstract: An image contains a representation of a person's face, where the image has plural points each comprising multiple components of a color space. For each of the plural points, at least two of the color space components are combined to produce a respective aggregate value. The image is processed to convert at least some of the points of the image based on the calculated aggregate values.

Abstract: Face-detection processing methods, image processing devices, and articles of manufacture are described. According to one arrangement, a face-detection processing method includes accessing image data of a plurality of images to be processed for detection of human faces in the images, determining whether or not to use skin-detection processing for face-detection processing of individual ones of the images, and in accordance with the determining, performing the face-detection processing of one of the images using the skin-detection processing to detect human faces in the one of the images and performing the face-detection processing of another of the images without using the skin-detection processing to detect human faces in the another of the images.

Abstract: Systems and methods of smile detection are disclosed. An exemplary method comprises generating a search map (400) for a subset of an image (300). The method also comprises identifying a plurality of candidates (400a-f) representing mouth corners. The method also comprises generating parabolas (410) between each pair of candidates representing mouth corners. The method also comprises analyzing contour of at least one of the parabolas to determine whether the mouth curves substantially upward to form a smile or curves substantially downward to form a frown.

Abstract: Systems, methods, and other embodiments associated with increasing face detection speed are described. One example method includes determining whether to control a face detection process to selectively perform a face detection in a patch in a digital image. The face detection may be based, at least in part, on determining whether the patch overlaps a face previously identified by the face detection process. The example method may also include providing a signal to control the face detection process to perform the face detection upon determining that a patch overlap does not exceed an overlap factor.

Abstract: Systems and methods are disclosed that determine a largest patch size to traverse a digital image, analyze the digital image to detect one or more first objects of a size approximately the same as the largest patch size, and discontinue analyzing the digital image when the digital image includes the first object(s) of a size approximately the same as the largest patch size. The patch size is decremented to progressively smaller patch sizes if the first object(s) of a size approximately the same as the largest patch size is not detected and the digital image is further analyzed to detect one or more first objects of a size approximately the same as the smaller patch size until the first object(s) are detected or the patch size is decremented below a predetermined smallest size.

Abstract: A device to apply detection schemes to texture information of a face detected within an image to generate mouth corner candidates and identify best matching mouth corners by applying a geometric model to the moth corner candidates.

Abstract: A camera system may include an image sensor to generate real-time image data of a scene having a subject. A pose evaluator can generate a pose metric signal having a pose value that provides a variable measure of a pose quality for the subject in the scene. A pose feedback indicator can provide user-perceptible feedback demonstrating the value of the pose metric signal, such that the variable measure of the pose quality is provided.

Abstract: A face is detected within a series of imaging frames. One or more changes to a facial feature of the face are detected in progressive frames of the series. The face is identified based on the detected changes.