Robert Jg Sweeney

US Patent:

47611375, Aug 2, 1988

Filed:

Jan 28, 1987

Appl. No.:

7/007910

Inventors:

John W. Taylor - Lowell MA
Robert M. Sweeney - Lowell MA

International Classification:

G09B 1900

US Classification:

434 99

Abstract:

A color coordination cone which permits a hair colorist to examine color mixtures before actual application. It is comprised of an internally illuminated cone-shaped base apparatus over which one or more transparent color cones comprised of twenty-four longitudinal color bands in eleven shades is placed. The color cones are rotated one over the other to examine the effect of mixing one color with another. In another embodiment of the invention, a colorless, transparent conical sheath with external tracks in radial planes corresponding to the edges of color cone shade levels is slid over the color cone. Elongated strips in various hues are slid between certain sets of adjacent tracks so that a particular hue on a strip will be positioned over a particular hue on the color cone and the results determined.

US Patent:

20230054721, Feb 23, 2023

Filed:

Aug 28, 2020

Appl. No.:

17/005410

Inventors:

- Cambridge MA, US
Robert Sweeney - Billerica MA, US

Assignee:

Massachusetts Institute of Technology - Cambridge MA

International Classification:

G06T 7/579
H04N 13/207
H04N 13/106
G06T 7/593
B64D 47/00

Abstract:

Radar, lidar, and other active 3D imaging techniques require large, heavy sensors that consume lots of power. Passive 3D imaging techniques based on feature matching are computationally expensive and limited by the quality of the feature matching. Fortunately, there is a robust, computationally inexpensive way to generate 3D images from full-motion video acquired from a platform that moves relative to the scene. The full-motion video frames are registered to each other and mapped to the scene coordinates using data about the trajectory of the platform with respect to the scene. The time derivative of the registered frames equals the product of the height map of the scene, the projected angular velocity of the platform, and the spatial gradient of the registered frames. This relationship can be solved in (near) real time to produce the height map of the scene from the full-motion video and the trajectory.