Dr. Michael H. Brill Profile

Dr. Michael H. Brill

at Datacolor Inc

SPIE Involvement:

Author | Editor

SPIE Journal Paper | 1 February 2010

Doppler effect: surprises from the time domain

Michael Brill

JNP, Vol. 4, Issue 01, 041520, (February 2010) https://doi.org/10.1117/12.10.1117/1.3333439

KEYWORDS: Doppler effect, Receivers, Acoustics, Electromagnetism, Metamaterials, Refractive index, Wavefronts, Reflectors, Motion analysis, Physics

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Proceedings Article | 6 June 2002 Paper

Leonardo 2000: the softcopy screen book

Michael Brill, Hugh Fairman, Henry Hemmendinger, Jack Ladson

Proceedings Volume 4421, (2002) https://doi.org/10.1117/12.464686

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Proceedings Article | 28 August 2000 Paper

Display performance assessment and certification at NIDL

Ronald Enstrom, Michael Grote, Michael Brill

Proceedings Volume 4022, (2000) https://doi.org/10.1117/12.397764

KEYWORDS: Standards development, LCDs, Visual process modeling, CRTs, Visualization, Video, Projection systems, Modulation, Control systems, Reflectivity

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Proceedings Article | 30 July 1998 Paper

View-based methods for relative reconstruction of 3D scenes from several 2D images

Eamon Barrett, Paul Payton, Peter Marra, Michael Brill

Proceedings Volume 3364, (1998) https://doi.org/10.1117/12.317485

KEYWORDS: Cameras, Imaging systems, 3D image processing, 3D modeling, 3D image reconstruction, Systems modeling, Visual process modeling, Chlorine, Distortion, Machine vision

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Proceedings Article | 20 October 1997 Paper

Geometric interpretations of algebraic invariants in images of 3D scenes

Eamon Barrett, Paul Payton, Peter Marra, Michael Brill

Proceedings Volume 3168, (1997) https://doi.org/10.1117/12.292782

KEYWORDS: 3D image processing, Image segmentation, Visualization, Imaging systems, Computer simulations

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We will demonstrate for central-projection imaging systems a natural progression of cross-ratio invariant theorems extending from one through three dimensions. In each dimensions there is an invariant quantitative relationship between combinations of geometric entities in image space, and combinations of corresponding geometric entities in object space. In one dimension, when the object points and image points are co-linear, these entities are line segments formed by corresponding paris of object and image points. The 'mother of all invariants' is the invariant relationship between cross-ratios of products of the lengths of these corresponding line segments in object and image. In two dimensions these geometric entities are triangles formed by corresponding triplets of points in the object and in the image. There exists an invariant relationship between cross- ratios of products of areas of these corresponding triangles in object and image. The one- and two-dimensional results are well known. Not so well-known is the fact that for the case of multiple images of 3D scenes and objects the geometric entities are triangles and tetrahedra, and that there exist invariant linear relationships between cross- ratios of products of the areas of image-triangles and volumes of object-tetrahedra. One objective of our paper is to demonstrate that these linear relationships are established by a uniform pattern of algebraic arguments that extends the cross-ratio invariants in a natural progression from lower to higher dimensions. A second objective is to demonstrate that the resulting cross-ratio invariants can be interpreted as metric properties of geometric entities. A third objective is to demonstrate that these cross-ratios of points in the images, which we can observe directly, are equal to the corresponding cross-ratios of points in the objects, which may not be directly accessible. We will use computer simulations to validate the algebraic results we derive in this paper, and 3D graphics to visualize them.

Proceedings Article | 8 September 1993 Paper

Can color-space transformation improve color computations other than von Kries?

Michael Brill

Proceedings Volume 1913, (1993) https://doi.org/10.1117/12.152723

KEYWORDS: Reflectivity, Colorimetry, 3D image processing, Detection and tracking algorithms, Remote sensing, Matrices, Image segmentation, Visual process modeling, Visual system, Space operations

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Proceedings Article | 4 August 1993 Paper

Color sameness: what to do when Grassmann additivity fails experimentally

Michael Brill

Proceedings Volume 1909, (1993) https://doi.org/10.1117/12.149083

KEYWORDS: Quantum efficiency, Photon counting, Molecules, Cones, Quantum physics, Data analysis, Color reproduction, Color vision, Visualization, Samarium

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Proceedings Article | 1 April 1992 Paper

Three-dimensional model alignment without computing pose

Joseph Mundy, Paul Payton, Michael Brill, Eamon Barrett, Richard Welty

Proceedings Volume 1623, (1992) https://doi.org/10.1117/12.58060

KEYWORDS: 3D modeling, Image segmentation, Systems modeling, Cameras, Solid modeling, Data modeling, 3D image processing, Image processing, Computer simulations, Feature extraction

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Proceedings Article | 1 December 1991 Paper

Linear resection, intersection, and perspective-independent model matching in photogrammetry: theory

Eamon Barrett, Michael Brill, Nils Haag, Paul Payton

Proceedings Volume 1567, (1991) https://doi.org/10.1117/12.50811

KEYWORDS: Digital image processing, Cameras, Imaging systems, Systems modeling, Photogrammetry, Polonium, Matrices, Computing systems, Control systems, Coded apertures

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Proceedings Article | 1 June 1991 Paper

Photometric models in multispectral machine vision

Michael Brill

Proceedings Volume 1453, (1991) https://doi.org/10.1117/12.44370

KEYWORDS: Light sources, Scattering, Visual process modeling, Image segmentation, Visualization, Human vision and color perception, Radon, Light scattering, Retina, Machine vision

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Proceedings Article | 1 November 1990 Paper

Differential and integral invariants under image-perspective transformations: a report on work in progress

Eamon Barrett, Paul Payton, Michael Brill

Proceedings Volume 1349, (1990) https://doi.org/10.1117/12.23565

KEYWORDS: Synthetic aperture radar, Digital image processing, Imaging systems, 3D image processing, Coded apertures, Electro optical modeling, Cameras, Fourier transforms, Object recognition, 3D modeling

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Showing 5 of 11 publications

SPIE Conference Volume | 1 June 1991

Human Vision, Visual Processing, and Digital Display II

SPIE Conference Volume | 1 August 1990

Perceiving, Measuring, and Using Color

Conference Committee Involvement (16)

Human Vision and Electronic Imaging XX

9 February 2015 | San Francisco, California, United States

Human Vision and Electronic Imaging XIX

3 February 2014 | San Francisco, California, United States

Human Vision and Electronic Imaging XVIII

4 February 2013 | Burlingame, California, United States

Human Vision and Electronic Imaging XVII

23 January 2012 | Burlingame, California, United States

Human Vision and Electronic Imaging XVI

24 January 2011 | San Francisco Airport, California, United States

Human Vision and Electronic Imaging XV

18 January 2010 | San Jose, California, United States

Human Vision and Electronic Imaging XIV

19 January 2009 | San Jose, California, United States

Human Vision and Electronic Imaging XIII

28 January 2008 | San Jose, California, United States

Human Vision and Electronic Imaging XII

29 January 2007 | San Jose, CA, United States

Human Vision and Electronic Imaging XI

16 January 2006 | San Jose, California, United States

Human Vision and Electronic Imaging X

17 January 2005 | San Jose, California, United States

Human Vision and Electronic Imaging IX

19 January 2004 | San Jose, California, United States

Human Vision and Electronic Imaging VIII

21 January 2003 | Santa Clara, CA, United States

Display Metrology II

23 January 2001 | San Jose, CA, United States

Human Vision, Visual Processing, and Digital Display II

27 February 1991 | San Jose, CA, United States

Perceiving, Measuring, and Using Color

11 February 1990 | Santa Clara, CA, United States

Showing 5 of 16 Conference Committees

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