Microsoft Technology Licensing, LLC

Eagle View Technologies, Inc.

Ajai Sehgal

Jonathan Edgar Fay

David R Nilosek

John Bradstreet

Daniel Gwozdz

Edward W Connell

Steven Andrew Cover

Tanuja Joshi

John Bronskill

Alvy Ray Smith

Nicholas John Clay

Daniel Rojas

George Chaves

Pete Cleveland

Methods and systems are disclosed that automatically determine solar access values. In one implementation, a 3D geo-referenced model of a structure is retrieved in which geographic location on the earth of points in the 3D geo-referenced model are stored or associated with points in the 3D geo-referenced model. Object point cloud data indicative of object(s) that cast shade on the structure is retrieved. The object point cloud data may be generated from one or more georeferenced images and the object point cloud data is indicative of an actual size, shape, and location of the object(s) on the earth. The structure in the 3D geo-referenced model is divided into one or more sections, which are divided into one or more areas, each area having at least three vertices. Then, a solar access value for the particular vertex is determined.

Method and system for determining solar access of a structure

An image processing application employs the concept of integral pre-multiplied alpha channel, and combines the techniques of multi-resolution representation, graph-structured representation, and automatic and intelligent data type conversion in order to permit a computer user to mix and manipulate both raster and vector based images in a single user interface while remaining unaware of the different data types underlying the images.

Mixed but indistinguishable raster and vector image data types

Growing community of inventors

Woodinville, WA, United States of America

Ajai Sehgal