A series of 54 Patent of Apple.Inc has officially published by the U.S Patent and Trademark Office today. In this special report we get Apple’s invention related to the field of image capture, and more specifically to get images with a detailed “field of view” (FOV) image sensor, because they can take better ‘selfie’ photos. Invention suggests that the sensor is quite smart so that the user is arbitrarily placed to keep the camera in a more optimal position.

Patent no.-US 9712751

Systems and methods to improve photo taking using an image capture device having a wide field of view (FOV) camera. In some embodiments, when the device is held in landscape orientation, a wide diagonal FOV may be displayed to the user on a preview screen of the device, and the landscape image may be captured in a wide, 16:9 aspect ratio. However, when the device is held in portrait orientation, the effective diagonal FOV of the device may be decreased via software and/or hardware, and a 4:3 aspect ratio image may be displayed and captured. In other embodiments, the captured portrait orientation image may be scaled, shifted, and/or cropped before being displayed to the user on the device’s preview display screen, in such a manner that the user will naturally be inclined to hold the device in a position that will produce a more optimal self-portrait image.

Features of camera

Apple notes that traditionally, the image sensor uses a fixed field view (FOV), even if the camera device is being held in the “Portrait” orientation or “landscape” orientation. The relatively limited field view for camera equipment, for example, a horizontal FOV of 57.degree. Or less, this sub optimal “photo” can result in taking pictures of the situation.

Whats new in this!

While trying to create a file from a “group” while keeping the camera device in the “landscape” orientation, all members of the FOV group cannot be adequately wide enough to capture, even if the camera device is being held by the user Fully extended arm length. Conversely, when in a “picture” orientation the camera tries to create a traditional, “self-only” file holding the device, usually the length of an inclination. The camera may be close to the user’s face, resulting in unwanted perspective distortions in the resulting image, such as the exaggerated nose, cheek, and or forehead shape, as well as the look of a “cross-eyed” user. For a standard consumer electronic

device camera with wide angle lens to take a picture, it has to rotate around 30 cm of the face of the subject, which can be inconvenient for the subject and result in a distorted image. A standard camera with a normal lens may not have a wide enough field of view to capture typical scenes.

Additional information

Apple further notes that if the camera device is found in portrait orientation, then the camera can be configured to optimize for portrait or self-image image,Using the low FOV techniques described above. In an exemplary incarnation, FOV can be reduced to a 38.degree. Or less horizontal FOV, In order to properly frame your face in the shot on the camera display preview screen of the camera device, the user will take the camera device further.

Consequently, the lens distortion will be reduced, the creation of more flattering and natural-looking image still in other embodiments, the capture picture orientation aspect ratio of the image can be cropped in a 4: 3 aspect ratio, with the crop window the image is transferred to the sensor So that the user will be tilted for the position of the camera so that the eyes are close to the lens plane, Thus, in the picture or self image image produces a more natural looking tut. Still in other embodiments, image data can be captured by the image sensor, which can be zoomed, cropped, scaled and / or transferred optically before the user displays on the display display screen of the camera, so that The user could naturally wear a camera device that would produce the “optimum” image or self image image in a situation where, As much as possible of undesired distortion and unnatural gauge, which are usually produced by small FOV cameras.