Snap-on Inc.

Intel Corporation

Snap-on Technologies, Inc.

Manjula Gururaj

Patrick O'Mahony

David A Jackson

George Michael Gill

Ramkumar Narayanswamy

Eric F Bryan

Michael J Robb

Avinash Kumar

Steve L Glickman

Patrick Brendan O'MAHONY

An embodiment of a semiconductor package apparatus may include technology to capture two or more concurrent images of a scene with two or more cameras, detect a feature in a first image from a first camera of the two or more cameras, match the feature in a second image from a second camera of the two or more cameras, and perform a photometric calibration between the first camera and the second camera based on a portion of the first image corresponding to the detected feature and a portion of the second image corresponding to the matched feature. Other embodiments are disclosed and claimed.

Multi-camera processor with feature matching

System, apparatus, method, and computer readable media for on-the-fly dynamic calibration of multi-camera platforms using images of multiple different scenes. Image frame sets previously captured by the platform are scored as potential candidates from which new calibration parameters may be computed. The candidate frames are ranked according to their score and iteratively added to the calibration frame set according to an objective function. The selected frame set may be selected from the candidates based on a reference frame, which may be a most recently captured frame, for example. A device platform including a CM and comporting with the exemplary architecture may enhance multi-camera functionality in the field by keeping calibration parameters current. Various computer vision algorithms may then rely upon these parameters, for example.

Dynamic calibration of multi-camera systems using multiple multi-view image frames

In a machine vision system utilizing computer processing of image data, an imaging module incorporates the image sensor as well as pre-processing circuitry, for example, for performing a background subtraction and/or a gradient calculation. The pre-processing circuitry may also compress the image information. The host computer receives the pre-processed image data and performs all other calculations necessary to complete the machine vision application, for example, to determine one or more wheel alignment parameters of a subject vehicle. In a disclosed example useful for wheel alignment, the module also includes illumination elements, and the module circuitry provides associated camera control. The background subtraction, gradient calculation and associated compression require simpler, less expensive circuitry than for typical image pre-processing boards. Yet, the pre-processing at the imaging module substantially reduces the processing burden on the host computer when compared to machine vision implementations using direct streaming of image data to the host computer.

Gradient calculating camera board

A position determination system comprises a data processing system, a first measuring module, and a second measuring module. Both of the measuring modules are coupled to the data processing system. The first measuring module includes a first sensing device for obtaining positional data of a first testing target. A calibration sensing device is rigidly linked to the first sensing device. The positional relationship between the first sensing device and the calibration target is known. The system has a rotation mechanism for rotating the sensing device of the first sensing device. The second measuring module includes a second sensing device for obtaining positional data of a second testing target. A calibration target is rigidly linked to the second sensing device, and is used with the calibration sensing device to obtain a positional relationship between the calibration target and the calibration sensing device. The positional relationship between the second sensing device and the calibration target is known. A rotation mechanism is provided for rotating the second sensing device. The data processing system provides a user interface for indicating the positions of the first and second sensing devices.

Self-calibrating position determination system and user interface

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Fremont, CA, United States of America

Manjula Gururaj