Gopro, Inc.

Aptina Imaging Corporation

Elizabeth Torres Martin

Sumit Chawla

Yingjun Bai

Timothy MacMillan

Yajie Sun

Honghong Peng

Miguel Flores

Andrew Hanvey

A pair of cameras having an overlapping field of view is aligned based on images captured by image sensors of the pair of cameras. A pixel shift is identified between the images. Based on the identified pixel shift, a calibration is applied to one or both of the pair of cameras. To determine the pixel shift, the camera applies correlation methods including edge matching. Calibrating the pair of cameras may include adjusting a read window on an image sensor. The pixel shift can also be used to determine a time lag, which can be used to synchronize subsequent image captures.

Target-less auto-alignment of image sensors in a multi-camera system

Stereoscopic imaging devices may include stereoscopic imagers, stereoscopic displays, and processing circuitry. The processing circuitry may be used to collect auto white balance (AWB) statistics for each image captured by the stereoscopic imager. A stereoscopic imager may include two image modules that may be color calibrated relative to each other or relative to a standard calibrator. AWB statistics may be used by the processing circuitry to determine global, local and spatial offset gain adjustments to provide intensity matched stereoscopic images for display. AWB statistics may be combined by the processing circuitry with color correction offsets determined during color calibration to determine color-transformation matrices for displaying color matched stereoscopic images using the stereoscopic display. Gain and color-transformation corrections may be continuously applied during operation of a stereoscopic imaging device to provide intensity-matched, color-matched stereoscopic images in any lighting condition.

Methods for matching gain and color for stereoscopic imaging systems

Growing community of inventors

San Jose, CA, United States of America

Elizabeth Torres Martin