Apple Inc.

Micron Technology Incorporated

Other

Aptina Imaging Corporation

Round Rock Research, LLC

Kevin L Hunter

Todd Stephen Sachs

Frank Doepke

Marco Zuliani

Claus Molgaard

Jianping Zhou

Alexis Gatt

Differing embodiments of this disclosure may employ one or all of the several techniques described herein to utilize a 'split' image processing pipeline, wherein one part of the 'split' image processing pipeline runs an object-of-interest recognition algorithm on scaled down (also referred to herein as &#x201c;low-resolution&#x201d;) frames received from a camera of a computing device, while the second part of the &#x201c;split&#x201d; image processing pipeline concurrently runs an object-of-interest detector in the background on full resolution (also referred to herein as &#x201c;high-resolution&#x201d;) image frames received from the camera. If the object-of-interest detector detects an object-of-interest that can be read, it then crops the object-of-interest out of the &#x201c;high-resolution&#x201d; camera buffer, optionally performs a perspective correction, and/or scaling on the object-of-interest to make it the desired size needed by the object-of-interest recognition algorithm, and then sends the scaled, high-resolution representation of the object-of-interest to the object-of-interest recognition algorithm for further processing.

Object-of-interest detection and recognition with split, full-resolution image processing pipeline

This disclosure pertains to devices, methods, and computer readable media for performing image registration. A few generalized steps may be used to carry out the image registration techniques described herein: 1) acquiring image data from an image sensor; 2) selecting a pair of overlapping image portions from the acquired image data for registration; 3) determining an area of 'maximum energy' in one of the image portions being registered; 4) placing an image registration window over both image portions at the determined location of maximum energy; 5) registering the overlapping image portions using only the image data falling within the image registration windows; and 6) determining, according to one or more metrics, whether the image registration window should be shifted from a current location before registering subsequently acquired image portions.

Image registration using sliding registration windows

A method for dynamically calibrating rotational offset in a device includes obtaining an image captured by a camera of the device. Orientation information of the device at the time of image capture may be associated with the image. Pixel data of the image may be analyzed to determine an image orientation angle for the image. A device orientation angle may be determined from the orientation information. A rotational offset, based on the image orientation angle and the device orientation angle, may be determined. The rotational offset is relative to the camera or orientation sensor. A rotational bias may be determined from statistical analysis of numerous rotational offsets from numerous respective images. In some embodiments, various thresholds and predetermined ranges may be used to exclude some rotational offsets from the statistical analysis or to discontinue processing for that image.

Method for dynamically calibrating rotation offset in a camera system

Systems, methods, and computer readable media to register images in real-time and that are capable of producing reliable registrations even when the number of high frequency image features is small. The disclosed techniques may also provide a quantitative measure of a registration's quality. The latter may be used to inform the user and/or to automatically determine when visual registration techniques may be less accurate than motion sensor-based approaches. When such a case is detected, an image capture device may be automatically switched from visual-based to sensor-based registration. Disclosed techniques quickly determine indicators of an image's overall composition (row and column projections) which may be used to determine the translation of a first image, relative to a second image. The translation so determined may be used to align/register the two images.

Projection-based image registration

A method and system for performing multi-sample, antialiased rendering of images by performing multi-sample antialiasing at the primitive level. Geometric primitives used to represent a graphics environment are set-up, and then shifted by a sub-pixel offset and rendered to generate values for pixels of an intermediate image. The shifting and rendering is repeated for the geometric primitive, each time generating values for pixels of another intermediate image. The values for the pixels of the intermediate images are combined to produce values for the respective pixels of the resulting image.

System and method for multi-sampling primitives to reduce aliasing

A system and method are disclosed for generating an animatable object. A skeleton of the desired character is constructed by the user utilizing various predetermined components. These predetermined components include a various selection of rods and joints. The rods are static components which remain rigid during motion, while the various joints are moveable components. A static digitized image, for example, an image of the user, is utilized and a constructed skeleton is superimposed onto it. The desired object, such as the image of the user, can then be extracted from the background of the digital image and the resulting personal character can then be animated, for instance by selecting and dragging one of the hands with a mouse.

System and method for generating an animatable character

An apparatus and method for performing automatic exposure control based on current measured luminance of an image and dynamic/modifiable target luminance levels. Exposure adjustments and/or adjustments to the dynamic/modifiable target luminance windows are based on the measured luminance and threshold settings to improve image quality while avoiding oscillations and other problems typically associated with automatic exposure.

Growing community of inventors

Sunnyvale, CA, United States of America

Kevin L Hunter