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Eric F. Aas

Researcher at Hewlett-Packard

Publications -  22
Citations -  358

Eric F. Aas is an academic researcher from Hewlett-Packard. The author has contributed to research in topics: Digital camera & Signal. The author has an hindex of 13, co-authored 22 publications receiving 358 citations.

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Patent

Face recognition in a digital imaging system accessing a database of people

TL;DR: In this article, a method and apparatus for building up a database of known faces is presented. But the database of the known faces allows the names of the people captured in an image to be added to the meta-data of the image file.
Patent

Manually operated hand-held optical scanner with tactile speed control assembly

TL;DR: In this article, a hand-held optical scanner comprising an optical sensor for generating a data signal representative of a scanned object, a housing for hand-displaceably supporting the optical sensor, and a roller mounted on the housing for enabling rolling displacement of the housing over a scanning object in a predetermined scan direction.
Patent

Hand-held optical scanner with onboard battery recharging assembly

TL;DR: A hand-held optical scanner comprising a hand-displaceable scanner housing; scanner electrical components mounted within the housing for performing scanner operating functions; a battery disposed in the housing and electrically connected to the electrical components; a generator disposed in a housing and operatively associated with the battery; and a roller assembly mounted in the scanner housing and drivingly linked to the generator is described in this paper.
Patent

Coordinated switching in a multiple switching regulator system to lower peak current load

TL;DR: In this article, the switching transistors in multiple switching regulators sharing the same input power source are coordinated to lower the peak current drain on the input power sources, and the turn on times of the transistors are set so that each switching transistor turns on at a predetermined time in a cycle.
Patent

Systems and methods for arriving at an auto focus Figure of Merit

TL;DR: In this paper, a method comprises detecting edges in at least a region of a captured focus image, using adjacent pixels of the region to obtain first edge detection results and filtering the first edge results.