Marc G Footen

US Patent:

20100153082, Jun 17, 2010

Filed:

Sep 4, 2009

Appl. No.:

12/554870

Inventors:

Richard D. Newman - Meridian ID, US
Timothy L. Andersen - Boise ID, US
Ullysses A. Eoff - Nampa ID, US
Marc G. Footen - Nampa ID, US
Jeffrey W. Habig - Boise ID, US
Timothy Otter - Caldwell ID, US
Cap C. Petschulat - Berkeley CA, US
Mason E. Vail - Nampa ID, US
David G. Zuercher - Boise ID, US

International Classification:

G06G 7/60

US Classification:

703 11

Abstract:

Systems and methods are provided herein that enable computer-implemented modeling of a biological event. Cell-based models produced from such systems and methods are also disclosed. In some embodiments, systems and methods are provided for cell-centric simulation with accommodating environment feedback. In one embodiment, a computer-implemented method of modeling a biological event can include receiving configurable simulation information and initializing an ontogeny engine to an initial step boundary in accordance with the configurable simulation information. The method can also include advancing the ontogeny engine from a current step boundary to a next step boundary in accordance with the configurable simulation information and the current step boundary. The advancing can include performing a metabolizeCell function. The method can further include continuing the advancing until a halting condition is encountered. In some embodiments, simulation of biological events includes modeling biological processes, such as development of ECM, multicellular tissue and differentiation of pluripotent cells.

US Patent:

20100305929, Dec 2, 2010

Filed:

Mar 5, 2010

Appl. No.:

12/718873

Inventors:

Timothy L. Andersen - Boise ID, US
Ullysses A. Eoff - Nampa ID, US
Marc G. Footen - Nampa ID, US
Richard D. Newman - Meridian ID, US
Timothy Otter - Caldwell ID, US
Cap C. Petschulat - Berkeley CA, US
Mason E. Vail - Nampa ID, US
David G. Zuercher - Boise ID, US

International Classification:

G06G 7/60

US Classification:

703 11

Abstract:

Systems and methods are provided herein that enable computer-implemented modeling of a biological event. Cell-based models produced from such systems and methods are also disclosed. In some embodiments, systems and methods are provided for cell-centric simulation with accommodating environment feedback. In one embodiment, a computer-implemented method of modeling a biological event can include receiving configurable simulation information and initializing an ontogeny engine to an initial step boundary in accordance with the configurable simulation information. The method can also include advancing the ontogeny engine from a current step boundary to a next step boundary in accordance with the configurable simulation information and the current step boundary. The advancing can include performing a stepCells function. The method can further include continuing the advancing until a halting condition is encountered. In some embodiments, simulation of biological events includes modeling biological processes, such as development of multicellular tissue and differentiation of pluripotent cells.

US Patent:

20130223673, Aug 29, 2013

Filed:

Jan 25, 2013

Appl. No.:

13/750752

Inventors:

Tony F. Rodriguez - Portland OR, US
Geoffrey B. Rhoads - West Linn OR, US
John D. Lord - West Linn OR, US
Alastair M. Reed - Lake Oswego OR, US
Eric D. Evans - Portland OR, US
Rebecca L. Gerlach - Beaverton OR, US
Yang Bai - Beaverton OR, US
John Stach - Portland OR, US
Tomas Filler - Tigard OR, US
Marc G. Footen - Portland OR, US
Sean Calhoon - Lake Oswego OR, US

Assignee:

DIGIMARC CORPORATION - Beaverton OR

International Classification:

G06K 9/78
G06K 7/14
G06Q 30/00

US Classification:

382100, 235375, 23546208

Abstract:

In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. A great variety of other features and arrangements are also detailed.

US Patent:

20090070087, Mar 12, 2009

Filed:

Sep 7, 2007

Appl. No.:

11/899927

Inventors:

Richard D. Newman - Meridian ID, US
Timothy L. Anderson - Boise ID, US
Ullysses A. Eoff - Nampa ID, US
Marc G. Footen - Nampa ID, US
Timothy Otter - Caldwell ID, US
Cap Petschulat - Boise ID, US
Mason E. Vail - Nampa ID, US
David G. Zuercher - Boise ID, US

International Classification:

G06G 7/48

US Classification:

703 11

Abstract:

A multi-cellular virtual tissue having the emergent properties of self-repair, adaptive response to an altered environment, or tissue differentiation, and a method of generating the tissue by computer modeling are disclosed. The tissue is formed of a plurality of virtual cells, each having a heritable virtual genome containing a set of virtual genes relating to each of (a1) intercellular adhesion, (a2) cell division, (a3) cell growth, (a4) intercellular signaling, and (a5) the state of one cell relative to an adjacent cell. In forming the tissue, the sequential operation and actions of the genes are guided by (1) chemical-interaction rules that govern the extra-genetic behavior of one or more molecules placed or produced in the environment, (2) action rules that specify a cell's adhesion, growth, or cell-division condition, in response to molecules produced by a cell's genes relating to intercellular adhesion, cell growth, or cell division, respectively, and (3) physical-interaction rules that govern how a cell will move in response to its own growth or division or the growth or division of neighboring cells.

US Patent:

20220261567, Aug 18, 2022

Filed:

Mar 11, 2022

Appl. No.:

17/692492

Inventors:

- Beaverton OR, US
Bruce L. Davis - Lake Oswego OR, US
Geoffrey B. Rhoads - West Linn OR, US
John D. Lord - West Linn OR, US
Alastair M. Reed - Lake Oswego OR, US
Eric D. Evans - Portland OR, US
Rebecca L. Gerlach - Beaverton OR, US
Yang Bai - Beaverton OR, US
John F. Stach - Portland OR, US
Tomas Filler - Beaverton OR, US
Marc G. Footen - Beaverton OR, US
Sean Calhoon - Lake Oswego OR, US
William Y. Conwell - Portland OR, US
Brian T. MacIntosh - Lake Oswego OR, US

International Classification:

G06K 7/10
G06Q 10/08
G06Q 20/20
G06Q 30/00
G06V 10/10
G06V 10/147
G06V 20/20
G06V 30/224
G07G 1/00
G06K 7/14

Abstract:

In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.

US Patent:

20210157998, May 27, 2021

Filed:

Jan 15, 2021

Appl. No.:

17/150801

Inventors:

- Beaverton OR, US
Bruce L. Davis - Lake Oswego OR, US
Geoffrey B. Rhoads - West Linn OR, US
John D. Lord - West Linn OR, US
Alastair M. Reed - Lake Oswego OR, US
Eric D. Evans - Portland OR, US
Rebecca L. Gerlach - Beaverton OR, US
Yang Bai - Beaverton OR, US
John F. Stach - Portland OR, US
Tomas Filler - Beaverton OR, US
Marc G. Footen - Beaverton OR, US
Sean Calhoon - Lake Oswego OR, US
William Y. Conwell - Portland OR, US
Brian T. MacIntosh - Lake Oswego OR, US

International Classification:

G06K 7/10
G06K 7/14
G06K 9/18
G06K 9/20
G06K 9/78
G06Q 30/00
G07G 1/00
G06Q 20/20
G06K 9/00
G06Q 10/08

Abstract:

In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.

US Patent:

20210004550, Jan 7, 2021

Filed:

Mar 17, 2017

Appl. No.:

15/462597

Inventors:

- Beaverton OR, US
Tony F. Rodriguez - Portland OR, US
Bruce L. Davis - Lake Oswego OR, US
Geoffrey B. Rhoads - West Linn OR, US
John D. Lord - West Linn OR, US
Alastair M. Reed - Lake Oswego OR, US
Eric D. Evans - Portland OR, US
Rebecca L. Gerlach - Beaverton OR, US
Yang Bai - Beaverton OR, US
John F. Stach - Portland OR, US
Tomas Filler - Beaverton OR, US
Marc G. Footen - Beaverton OR, US
Sean Calhoon - Lake Oswego OR, US
William Y. Conwell - Portland OR, US

International Classification:

G06K 7/10
G06K 9/78
G06Q 30/00
G06K 7/14
G06Q 20/20
G07G 1/00

Abstract:

In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.

US Patent:

20200380226, Dec 3, 2020

Filed:

Jun 5, 2020

Appl. No.:

16/893856

Inventors:

- Beaverton OR, US
Bruce L. Davis - Lake Oswego OR, US
Geoffrey B. Rhoads - West Linn OR, US
John D. Lord - West Linn OR, US
Alastair M. Reed - Lake Oswego OR, US
Eric D. Evans - Portland OR, US
Rebecca L. Gerlach - Beaverton OR, US
Yang Bai - Beaverton OR, US
John F. Stach - Portland OR, US
Tomas Filler - Beaverton OR, US
Marc G. Footen - Beaverton OR, US
Sean Calhoon - Lake Oswego OR, US
William Y. Conwell - Portland OR, US
Brian T. MacIntosh - Lake Oswego OR, US

International Classification:

G06K 7/10
G06K 7/14
G06K 9/18
G06K 9/20
G06K 9/78
G06Q 30/00
G07G 1/00
G06Q 20/20
G06K 9/00
G06Q 10/08

Abstract:

In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.