Abstract: A method for displaying preview images is disclosed. In one aspect, the method includes: receiving first images captured by a first camera having a first field-of-view (FOV), receiving second images captured by a second camera having a second FOV that is different than the first FOV, and displaying preview images generated based on the first and second images. The method may further include determining a spatial transform based on depth information associated with individual pixels in the first and second images, and upon receiving instructions to zoom in or out beyond a camera switching threshold, modifying the second image using the spatial transform and displaying the first image and the modified second image consecutively.

Abstract: Method and systems for autofocus triggering focusing are disclosed herein. In one example, a system may include a lens, a memory component configured to store lens parameters of the lens and regions of focus corresponding to the lens parameters, and a processor coupled to the memory and the lens. The processor may be configured to focus the lens on a target object at a first instance of time, receive information indicative of distances from an imaging device to the target object over a period of time, obtain lens parameters of the lens, and determine a region of focus, and trigger the lens to re-focus on the target object if the distance to the target object indicates the target object is outside of the region of focus and the distance to the target object is unchanged for a designated time period.

Abstract: A method for displaying preview images is disclosed. In one aspect, the method includes: receiving first images captured by a first camera having a first field-of-view (FOV), receiving second images captured by a second camera having a second FOV that is different than the first FOV, and displaying preview images generated based on the first and second images. The method may further include determining a spatial transform based on depth information associated with individual pixels in the first and second images, and upon receiving instructions to zoom in or out beyond a camera switching threshold, modifying the second image using the spatial transform and displaying the first image and the modified second image consecutively.

Abstract: Methods and apparatuses for irregular-region based automatic image correction are disclosed. In one aspect, the method is operable by an imaging device including a touch sensor, for performing image correction. The method can include obtaining a first image of a scene and receiving, via the touch sensor, a touch input indicating a selected region of the first image and having a shape that corresponds to a shape of the selected region. The method can also include determining statistics indicating visual properties for the selected region, adjusting at least one image correction parameter of the imaging device based on the determined statistics and the shape of the touch input, and obtaining a second image of the scene based on the adjusted at least one image correction parameter of the imaging device.

Abstract: Method and systems for autofocus triggering focusing are disclosed herein. In one example, a system may include a lens, a memory component configured to store lens parameters of the lens and regions of focus corresponding to the lens parameters, and a processor coupled to the memory and the lens. The processor may be configured to focus the lens on a target object at a first instance of time, receive information indicative of distances from an imaging device to the target object over a period of time, obtain lens parameters of the lens, and determine a region of focus, and trigger the lens to re-focus on the target object if the distance to the target object indicates the target object is outside of the region of focus and the distance to the target object is unchanged for a designated time period.

Abstract: Methods and apparatuses for irregular-region based automatic image correction are disclosed. In one aspect, the method is operable by an imaging device including a touch sensor, for performing image correction. The method can include obtaining a first image of a scene and receiving, via the touch sensor, a touch input indicating a selected region of the first image and having a shape that corresponds to a shape of the selected region. The method can also include determining statistics indicating visual properties for the selected region, adjusting at least one image correction parameter of the imaging device based on the determined statistics and the shape of the touch input, and obtaining a second image of the scene based on the adjusted at least one image correction parameter of the imaging device.

Abstract: Method and systems for autofocus triggering focusing are disclosed herein. In one example, a system may include a lens, a memory component configured to store lens parameters of the lens and regions of focus corresponding to the lens parameters, and a processor coupled to the memory and the lens. The processor may be configured to focus the lens on a target object at a first instance of time, receive information indicative of distances from an imaging device to the target object over a period of time, obtain lens parameters of the lens, and determine a region of focus, and trigger the lens to re-focus on the target object if the distance to the target object indicates the target object is outside of the region of focus and the distance to the target object is unchanged for a designated time period.

Abstract: Method and systems for autofocus triggering focusing are disclosed herein. In one example, a system may include a lens, a memory component configured to store lens parameters of the lens and regions of focus corresponding to the lens parameters, and a processor coupled to the memory and the lens. The processor may be configured to focus the lens on a target object at a first instance of time, receive information indicative of distances from an imaging device to the target object over a period of time, obtain lens parameters of the lens, and determine a region of focus, and trigger the lens to re-focus on the target object if the distance to the target object indicates the target object is outside of the region of focus and the distance to the target object is unchanged for a designated time period.

Abstract: Exemplary embodiments are directed to dual camera autofocusing in digital cameras with error detection. An auxiliary lens and image sensor shares a housing with a main lens and image sensor which together act as a range finder to determine the distance to a scene. Scene distance is used in combination with contrast-detection autofocus to achieve maximum sharpness in the image. Errors in distance determination may be found and corrected using a comparison of data collected from the auxiliary lens and main lens.

Abstract: Described is a method and apparatus for unattended image capture that can identify subjects or faces within an image captured with an image sensor. The methods and apparatus may then score the image based, at least in part, on scores of detected subjects or faces in the image, scores of facial expressions, a focus score, exposure score, stability score, or audio score. If the score of the image is above a threshold, a snapshot image may be stored to a data store on the imaging device. In some aspects, if the score of the image is below a threshold, one or more audible prompts may be generated indicating that subjects should change positions, smile or remain more still during the image capture process.

Abstract: Described is a method and apparatus for unattended image capture that can identify subjects or faces within an image captured with an image sensor. The methods and apparatus may then score the image based, at least in part, on scores of detected subjects or faces in the image, scores of facial expressions, a focus score, exposure score, stability score, or audio score. If the score of the image is above a threshold, a snapshot image may be stored to a data store on the imaging device. In some aspects, if the score of the image is below a threshold, one or more audible prompts may be generated indicating that subjects should change positions, smile or remain more still during the image capture process.

Abstract: Described is a method and apparatus for unattended image capture that can identify subjects or faces within an image captured with an image sensor. The methods and apparatus may then score the image based, at least in part, on scores of detected subjects or faces in the image, scores of facial expressions, a focus score, exposure score, stability score, or audio score. If the score of the image is above a threshold, a snapshot image may be stored to a data store on the imaging device. If the score of the image is below a threshold, one or more audible prompts may be generated indicating that subjects should change positions, smile or remain more still during the image capture process.

Abstract: Described herein are methods and devices that employ a dual shutter button feature associated with an image capture device to recommend a capture mode to a user based on one or more parameters analyzed by the image capture system. As described, providing a primary shutter button and a secondary shutter button enables the user to capture in both a standard capture mode by using the primary shutter button and in an alternate mode by using a secondary shutter button.

Abstract: Described herein are methods and devices that employ a dual shutter button feature associated with an image capture device to recommend a capture mode to a user based on one or more parameters analyzed by the image capture system. As described, providing a primary shutter button and a secondary shutter button enables the user to capture in both a standard capture mode by using the primary shutter button and in an alternate mode by using a secondary shutter button.

Abstract: Described is a method and apparatus for unattended image capture that can identify subjects or faces within an image captured with an image sensor. The methods and apparatus may then score the image based, at least in part, on scores of detected subjects or faces in the image, scores of facial expressions, a focus score, exposure score, stability score, or audio score. If the score of the image is above a threshold, a snapshot image may be stored to a data store on the imaging device. If the score of the image is below a threshold, one or more audible prompts may be generated indicating that subjects should change positions, smile or remain more still during the image capture process.