1. Kevin Dickey November 2, 2010 RTI Builder

2. About the RTI Builder Java-based Available for Windows, Mac OS, and Linux Development led by João Barbosa of the Universidade do Minho (Portugal) Version 2.0.0 (October 2009)

3. Functions of the RTI Builder Create a highlight-based PTM automatically – Handheld illumination (glossy ball detection) – PTM domes/structures Perform basic image processing – White balance – Exposure correction – Cropping – Image resizing – Image rotation Log processing information, metadata

4. Requirements At least six source images – JPEG, TIFF, DNG – Must be found in a subfolder entitled “Jpeg- exports” A glossy ball (or PTM dome)

5. How It Works Determine the following variables: The center and radius of the glossy ball in pixel coordinates (C x, C y ) on the image. Radius, r, of sphere in image. The position of each highlight center (H x, H y ) Mudge et. al (2006)

6. How It Works (cont’d) Knowing (H x, H y ) and (C x, C y )… Normalize highlight locations to span (-1, 1) with the following equations: From here, normal vectors can be calculated: Mudge et. al (2006)

7. How It Works (cont’d) The slope of the surface normal ( Φ ) at the center of the highlight can be calculated: This is only half of the actual angle of illumination; double it to get the actual angle of illumination in the image From this angle, the program creates the normalized light vectors for LP files: Mudge et. al (2006)

8. Results? An LP file for all source images, saved separately Assembly files A.xml log file …. And, of course, a PTM, viewable in HP Labs’ PTMViewer software.