Abstract: A system, method, and computer program product are provided for rendering a combined image. In use, two or more source images including at least one strobe image and at least one ambient image are loaded. A pixel-level correction is estimated for at least one of the two or more source images based on a pixel level correction function. At least one pixel of the two or more source images is color-corrected based on the pixel-level correction. A first blend weight associated with the two or more source images is initialized, and a first combined image from the two or more source images is rendered based on the color-correction and the first blend weight. Additional systems, methods, and computer program products are also presented.

Abstract: This disclosure is directed to facilitating voice and video communication between users independent of a location or a device. A communication request can specify users, who may be identified and located in their respective environments. For example, users can be identified and located using facial recognition imaging techniques and/or by monitoring a radio frequency (RF) signal associated with a device that is carried or worn by a user. After determining a location of a user, individual devices can be configured as a functionally grouped device to allow the users to communicate. For example, capabilities of a television, microphone, speaker, and imaging device can be combined to allow a video communication between users. Further, as a user moves around his or her environment, the location of the user can be tracked and additional functionally grouped devices can be provided for seamless communication.

Abstract: A hub is configured to provide voice control without assistance from a remote system, which allows the hub to provide a user with the ability to control second devices in an environment by issuing voice commands, even when the hub is unable to communicate with the remote system over a wide area network (e.g., the Internet). The hub is also configured to execute rules without assistance from the remote system, which allows the hub to execute rules, even when the hub is unable to communicate with the remote system over a wide area network (e.g., the Internet).

Abstract: Traditional home-automation systems utilize a single hub for controlling secondary devices within a home. The techniques described herein, meanwhile, utilize multiple hubs within the environment and/or located remotely from the environment. For instance, an environment may include multiple electronic devices, each configured to control one or more secondary devices within the environment. In addition, a remote service may be configured to control one or more secondary devices within the environment. As such, each controlling device stores and executes an instance of a control engine, rather than relying on a single instance of a control engine located at a single controlling hub.

Abstract: A system and method are provided for optimizing histogram cumulative distribution function curves. In use, a first cumulative distribution function for a first histogram of a first pixel region of a first image is computed, and a first set of parameters for the first cumulative distribution function is extracted. A second cumulative distribution function for a second histogram of a second pixel region of the first image is computed, and a second set of parameters for the second cumulative distribution function is extracted. An interpolated cumulative distribution function comprising interpolated parameters calculated by interpolating between the first set of parameters and the second set of parameters is created. Additionally, a first equalized pixel in a second image based on a first input pixel in the first image and the interpolated cumulative distribution function is generated.

Abstract: A system, method, and computer program product are provided for rendering a combined image. In use, two or more source images including at least one strobe image and at least one ambient image are loaded. A pixel-level correction is estimated for at least one of the two or more source images based on a pixel level correction function. At least one pixel of the two or more source images is color-corrected based on the pixel-level correction. A first blend weight associated with the two or more source images is initialized, and a first combined image from the two or more source images is rendered based on the color-correction and the first blend weight. Additional systems, methods, and computer program products are also presented.

Abstract: A system and method are provided for capturing an image with correct skin tone exposure. In use, one or more faces are detected having threshold skin tone within a scene. Next, based on the detected one or more faces, the scene is segmented into one or more face regions and one or more non-face regions. A model of the one or more faces is constructed based on a depth map and a texture map, the depth map including spatial data of the one or more faces, and the texture map includes surface characteristics of the one or more faces. The one or more images of the scene are captured based on the model. Further, in response to the capture, the one or more face regions are processed to generate a final image.

Abstract: A system, method, and computer program are provided for receiving face models based on face nodal points. In use, a real-time face model is received, wherein the real-time face model includes one or more face nodal points. Real-time face nodal points are received, including additional one or more face nodal points. The real-time face model is manipulated based on the real-time face nodal points.

Abstract: A system, method, and computer program are provided for receiving face models based on face nodal points. In use, a real-time face model is received, wherein the real-time face model includes one or more face nodal points. Real-time face nodal points are received, including additional one or more face nodal points. The real-time face model is manipulated based on the real-time face nodal points.

Abstract: A system, method, and computer program product for displaying representative images is disclosed. The method comprises displaying two or more representative images at a first orientation, receiving an indication of a second orientation, in response to the indication, displaying a animation sequence for each of the two or more representative images, and displaying the two or more representative images at the second orientation.

Abstract: A system and method are provided for optimizing histogram cumulative distribution function curves. In use, a first cumulative distribution function for a first histogram of a first pixel region of a first image is computed, and a first set of parameters for the first cumulative distribution function is extracted. A second cumulative distribution function for a second histogram of a second pixel region of the first image is computed, and a second set of parameters for the second cumulative distribution function is extracted. An interpolated cumulative distribution function comprising interpolated parameters calculated by interpolating between the first set of parameters and the second set of parameters is created. Additionally, a first equalized pixel in a second image based on a first input pixel in the first image and the interpolated cumulative distribution function is generated.

Abstract: A system, method, and computer program are provided for receiving face models based on face nodal points. In use, a real-time face model is received, wherein the real-time face model includes one or more face nodal points. Real-time face nodal points are received, including additional one or more face nodal points. The real-time face model is manipulated based on the real-time face nodal points.

Abstract: A system, method, and computer program product are provided for capturing digital images. In use, an ambient image comprising at least two ambient pixels and a flash image comprising at least two flash pixels is captured, via a camera module. Next, at least one de-noised pixel based on the ambient image is generated. Additionally, a resulting image is generated by combining the at least one de-noised pixel and a corresponding flash pixel. Additional systems, methods, and computer program products are also presented.

Abstract: A system and method are provided for capturing a flash image based on ambient and flash metering. In use, a first flash condition is metered for a first flash frame, and a first flash capture time is determined based on the metering of the first flash condition. A flash circuit is enabled during an active period and, a first flash frame is captured based on a combination of the first flash capture time. Finally, a final image is generated based on the first flash frame.

Abstract: A system and method are provided for capturing an image with correct skin tone exposure. In use, one or more faces having threshold skin tone are detected within a scene. Based on the detected one or more faces, a high dynamic range (HDR) capture mode is enabled. Further, the scene image is captured using the HDR capture mode.

Abstract: A system and method are provided for capturing an image with correct skin tone exposure. In use, one or more faces are detected having threshold skin tone within a scene. Next, based on the detected one or more faces, the scene is segmented into one or more face regions and one or more non-face regions. A model of the one or more faces is constructed based on a depth map and a texture map, the depth map including spatial data of the one or more faces, and the texture map includes surface characteristics of the one or more faces. The one or more images of the scene are captured based on the model. Further, in response to the capture, the one or more face regions are processed to generate a final image.

Abstract: A system and method are provided for optimizing histogram cumulative distribution function curves. In use, a first cumulative distribution function for a first histogram of a first pixel region of a first image is computed, and a first set of parameters for the first cumulative distribution function is extracted. A second cumulative distribution function for a second histogram of a second pixel region of the first image is computed, and a second set of parameters for the second cumulative distribution function is extracted. An interpolated cumulative distribution function comprising interpolated parameters calculated by interpolating between the first set of parameters and the second set of parameters is created. Additionally, a first equalized pixel in a second image based on a first input pixel in the first image and the interpolated cumulative distribution function is generated.

Abstract: A system and method are provided for capturing an image with correct skin tone exposure. In use, one or more faces are detected having threshold skin tone within a scene. Next, based on the detected one or more faces, the scene is segmented into one or more face regions and one or more non-face regions. A model of the one or more faces is constructed based on a depth map and a texture map, the depth map including spatial data of the one or more faces, and the texture map includes surface characteristics of the one or more faces. The one or more images of the scene are captured based on the model. Further, in response to the capture, the one or more face regions are processed to generate a final image.

Abstract: A robotic assistant comprises a plurality of sensors in a compact and unobtrusive form. One or more sensors may be emplaced upon a mast that may be selectively raised and lowered. The mast allows the robotic assistant to acquire images or other sensor data from a greater height, without substantially increasing the bulk of the robotic assistant. For ease of transport from one floor to another or from one building to another, the robotic assistant may deploy a handhold that a human may use to pick up and carry the robotic assistant. Floor characterization sensors may be used to determine characteristics of the floor such as if the floor is wet or dry. The robotic assistant may be used to provide a user with access to network services, to monitor a facility, provide telepresence services, and so forth.

Abstract: A robot operates using electrical power. The robot is able to autonomously return to a dock to recharge its batteries. The robot may perform a variety of tasks that consume electrical power, such as performing video calls, presenting audio or video content, acting as a sentry, and so forth. Usage of the robot is analyzed to predict tasks that a user is likely to request. This information is used along with information about previously scheduled tasks and system tasks to create a list of tasks to be performed and when to perform those tasks. The tasks to be performed are calculated to maximize availability of the robot to the user while minimizing charge/discharge cycles, minimizing the extent of the charge/discharge, and minimizing the use of rapid charging. As a result, the lifespan of the batteries may be increased.