SIM University Projector Specifications. Stuart Nicholson System Architect. May 9, 2012

Similar documents
SIM University Color, Brightness, Contrast, Smear Reduction and Latency. Stuart Nicholson Program Architect, VE.

Reikan FoCal Aperture Sharpness Test Report

Reikan FoCal Aperture Sharpness Test Report

Reikan FoCal Aperture Sharpness Test Report

Reikan FoCal Aperture Sharpness Test Report

MEASURING HEAD-UP DISPLAYS FROM 2D TO AR: SYSTEM BENEFITS & DEMONSTRATION Presented By Matt Scholz November 28, 2018

Reikan FoCal Aperture Sharpness Test Report

Imaging Photometer and Colorimeter

Optical design of a high resolution vision lens

Some of the important topics needed to be addressed in a successful lens design project (R.R. Shannon: The Art and Science of Optical Design)

G-700 multiple Channel 4K Curve Edge Blending Processor

The ultimate in 4K laser projection

White Paper Focusing more on the forest, and less on the trees

About 3D perception. Experience & Innovation: Powered by People

BIG PIXELS VS. SMALL PIXELS THE OPTICAL BOTTLENECK. Gregory Hollows Edmund Optics

Edge Blender Controller

MTF characteristics of a Scophony scene projector. Eric Schildwachter

DLA-RS20 Full HD D-ILA Front Projector

About 3D perception. Experience & Innovation: Powered by People

FULL RESOLUTION 2K DIGITAL PROJECTION - by EDCF CEO Dave Monk

Optical basics for machine vision systems. Lars Fermum Chief instructor STEMMER IMAGING GmbH

Practical Image and Video Processing Using MATLAB

High Dynamic Range Displays

CMOS Star Tracker: Camera Calibration Procedures

Speckle free laser projection

Variable microinspection system. system125

TECHSPEC COMPACT FIXED FOCAL LENGTH LENS

APPLICATIONS FOR TELECENTRIC LIGHTING

Technical Note How to Compensate Lateral Chromatic Aberration

Laser Diode Mounting Kits

Image Capture and Problems

Comprehensive Vicarious Calibration and Characterization of a Small Satellite Constellation Using the Specular Array Calibration (SPARC) Method

Using Optics to Optimize Your Machine Vision Application

Performance of Image Intensifiers in Radiographic Systems

The Fastest, Easiest, Most Accurate Way To Compare Parts To Their CAD Data

INFLUENCE OF VARIABLE APERTURE STOP

Copyright 2000 Society of Photo Instrumentation Engineers.

EC-433 Digital Image Processing

NP40/50/60 Installation Guide Ceiling Mounted and Desktop Rev 1.2

Optoliner NV. Calibration Standard for Sighting & Imaging Devices West San Bernardino Road West Covina, California 91790

WHITE PAPER. Methods for Measuring Flat Panel Display Defects and Mura as Correlated to Human Visual Perception

evolume Technical lighting without frills

White Paper: Convergence & Lateral Chromatic Aberration

Calibration considerations for a reduced-timeline optimized approach for VNIR earthorbiting

Compact High Resolution Imaging Spectrometer (CHRIS) siraelectro-optics

Using the Large Linear Verification Kit

VELVET The High Contrast Simulation Projector

ME 6406 MACHINE VISION. Georgia Institute of Technology

ECEN. Spectroscopy. Lab 8. copy. constituents HOMEWORK PR. Figure. 1. Layout of. of the

Color Digital Imaging: Cameras, Scanners and Monitors

DCP D Cinema Projectors. Lens configurations

DECODING SCANNING TECHNOLOGIES

Imaging across the world. Hiroshi Matsumoto, Munehiro Ogasawara and Kiyoshi Hattori April 18 th, 2013

REPLICATING HUMAN VISION FOR ACCURATE TESTING OF AR/VR DISPLAYS Presented By Eric Eisenberg February 22, 2018

Measurement of Visual Resolution of Display Screens

(12) Patent Application Publication (10) Pub. No.: US 2003/ A1. Penn et al. (43) Pub. Date: Aug. 7, 2003

WHITE PAPER. Guide to CCD-Based Imaging Colorimeters

How interference filters can outperform colored glass filters in automated vision applications

Reflection! Reflection and Virtual Image!

Density vs. Contrast

An Indian Journal FULL PAPER. Trade Science Inc. Parameters design of optical system in transmitive star simulator ABSTRACT KEYWORDS

Heads Up and Near Eye Display!

It should also be noted that with modern cameras users can choose for either

inphoto ID Canon and Olympus camera control software Automatic ID photography User Guide

T I P S F O R I M P R O V I N G I M A G E Q U A L I T Y O N O Z O F O O T A G E

This technical brief provides detailed information on the image quality, performance, and versatility of Epson projectors.

CRISATEL High Resolution Multispectral System

Bias errors in PIV: the pixel locking effect revisited.

Pixel CCD RASNIK. Kevan S Hashemi and James R Bensinger Brandeis University May 1997

Camera Requirements For Precision Agriculture

INTERFEROMETER VI-direct

REAL-TIME X-RAY IMAGE PROCESSING; TECHNIQUES FOR SENSITIVITY

LENSES. INEL 6088 Computer Vision

Optical Performance of the Grating Light Valve Technology

MML-High Resolution 5M Series

Optimizing throughput with Machine Vision Lighting. Whitepaper

pco.edge 4.2 LT 0.8 electrons 2048 x 2048 pixel 40 fps up to :1 up to 82 % pco. low noise high resolution high speed high dynamic range

Improved sensitivity high-definition interline CCD using the KODAK TRUESENSE Color Filter Pattern

FINELITE 10 Year LED Warranty

Optics: An Introduction

Design Description Document

Astrophotography. An intro to night sky photography

DLP Projector LX-MU700

Getting your Monitor and Prints to display correct Colour*

Parameters of Image Quality

Very short introduction to light microscopy and digital imaging

GPI INSTRUMENT PAGES

NovaCLB-Cabinet Quick Start User Manual

Chapter 5 Nadir looking UV measurement.

Vortex Shedding Past a Triangular Prism

Camera Calibration Certificate No: DMC III 27542

Laser Scanning 3D Display with Dynamic Exit Pupil

Epson EB-G7000 Series THE POWER TO ENGAGE

Be aware that there is no universal notation for the various quantities.

EUV Plasma Source with IR Power Recycling

2 How to operate the microscope/obtain an image

M271X/M311X Installation Guide Ceiling Mounted and Desktop Rev 1.0

Camera Requirements For Precision Agriculture

ThermaViz. Operating Manual. The Innovative Two-Wavelength Imaging Pyrometer

Criteria for Optical Systems: Optical Path Difference How do we determine the quality of a lens system? Several criteria used in optical design

Transcription:

2012

2012 Projector Specifications 2 Stuart Nicholson System Architect

System Specification Space Constraints System Contrast Screen Parameters System Configuration Many interactions Projector Count Resolution Mission Type Feature Discrimination Maintenance Schedule IG Hardware Realism Database Gamut 3

System Specification Space Constraints System Contrast Screen Parameters System Configuration Many interactions Translation to projector specification is not obvious Projector Count Resolution Mission Type Feature Discrimination Maintenance Schedule IG Hardware Realism Database Gamut 4

System Specification Space Constraints System Contrast Screen Parameters System Configuration Many interactions Translation to projector specification is not obvious Will discuss interactions with projector specifications Projector Count Resolution MTF Color Error Lens Type Uniformity Modulators Pixel Size Feature Discrimination Illuminator Type Contrast Maintenance Schedule Lens Offset Brightness Color Gamut Throw Ratio Smear Reduction Frame Rate Image Geometry tin tout Latency IG Hardware Mission Type Realism Database Gamut 5

Interactions Between Projector Parameters Color Error Lens Type Uniformity Contrast Lens Offset Throw Ratio Image Geometry MTF Brightness Smear Reduction tin Latency tout Frame Rate Pixel Size Modulators Color Gamut Illuminator Type 6

Interactions Between Projector Parameters Contrast Uniformity Brightness Smear Reduction tin Latency tout 7

Brightness Interactions Technology choices Illuminator type Pixel size Design choices Contrast Uniformity System choices Color gamut, white point Lens type Smear reduction Lens shift 8

Brightness Interactions Technology / Design Technology choices Illuminator type Illuminator type Pixel size Design choices Contrast Uniformity System choices Color gamut, white point Lens type Smear reduction Lens shift Available raw lumens Lifetime Cost Physical and optics size Pixel size Resolution vs optics size Contrast and uniformity Apertures limit brightness Increasing uniformity reduces brightness 9

Brightness Interactions System Technology choices Color gamut Illuminator type Pixel size Design choices Contrast Uniformity System choices Color gamut, white point Lens type Smear reduction Lens shift Color saturation Brightness profile over gamut Lens type Apertures in lens for contrast and depth of field Throw ratio Smear reduction Hold time (display time) Lens shift Apertures in lens 10

Brightness vs Color 140 120 100 80 60 40 20 y=7000 y=231 y=250 y=273 y=300 y=333 y=375 y=429 y=500 y=600 y=750 y=1000 y=1500 y=3000 11

Brightness Measurement System parameters Color gamut Frame rate Smear reduction Instrument Define Measurement / Technique White flat field Color checkerboard Center, 9-pt, 13-pt 12

Contrast Technology choices Pixel size Design choices Brightness Uniformity System choices Lens type Throw ratio Lens shift 13

Contrast Interactions Technology / Design Technology choices Pixel size Design choices Brightness Uniformity System choices Lens type Throw ratio Lens shift Cost Physical and optics size Pixel size Resolution vs optics size Brightness and uniformity Apertures improve contrast Increasing uniformity reduces contrast 14

Contrast Interactions System Technology choices Lens type Pixel size Design choices Brightness Uniformity System choices Lens type Throw ratio Lens shift Lenses with shift capability may increase spill light Apertures in lens improve contrast Throw ratio and lens shift Contrast can vary with throw ratio and lens shift due to changing effectiveness of apertures in lens (throw) and system (shift) 15

Contrast Measurement System parameters K1 W1 K2 W2 Typically specified at zero lens shift W3 K3 W4 K4 Instrument Define Measurement / Technique K5 W7 W5 K7 K6 W7 W6 K8 Flat-field (sequential) ANSI checkerboard Spill 16

Latency 17

Latency Smear reduction (reduction of hold or display time) can reduce latency Increasing frame rate can significantly reduce latency IG Output Frame n Transport Latency Video Cable Video Processing Modulated Light out Projection Lens Frame n Frame n Video Processing Latency Frame n Imaging Latency t0 t1 t2 t3 t4 t5 18

Latency Interactions Technology choices Geometry: IG, box or projector Design choices Algorithm System choices Image geometry Smear reduction Frame rate 19

Latency Interactions Technology choices Geometry: IG, box or projector Geometry: IG, box or projector Design choices Algorithm System choices Image geometry Smear reduction Interface with calibration system Algorithm Image geometry Pixel shifted vertically up the most (default landscape orientation) drives latency Frame rate Smear reduction and frame rate Can reduce latency 20

Latency Measurement System parameters Typical geometry Smear reduction Frame rate Instrument Define Measurement / Technique Last pixel to last light (L->L) First pixel to last light (L->L + transport delay) IG Vertical Sync Data Active Projected Light Projector First-to-First Last-to-Last (recommended) F IV F ID L ID L IV F OIL F OFF L OIL L OFF PIN diode Transport = F( frame rate ) Video Processing = F( geometry ) Imaging = F( frame rate, smear reduction ) 21

Uniformity Interactions Technology choices Pixel size Design choices Brightness Contrast System choices Lens type Lens shift 22

Uniformity Interactions Technology choices Pixel size Design choices Brightness Contrast System choices Lens type Lens shift Optics complexity Pixel size Diffraction effects Brightness and contrast Increasing uniformity (optically or electronically) reduces brightness and contrast Lens type and shift Shift-capable lenses improve uniformity Uniformity typically y degrades away from zero shift 23

Uniformity Measurement System parameters Typically specified at zero offset Instrument Define Measurement / Technique Typically without electronic correction White flat field 9-pt, 13-pt, 17-pt, center-to-corner 24

Smear Interactions Technology choices Design choices Algorithm Brightness System choices Frame rate Latency 25

Smear Interactions Technology choices Design choices Algorithm Brightness System choices Frame rate Latency More modulators permits shorter display time (to a point) Algorithm Algorithm choices can impact tradeoff between smear reduction and hold time Brightness Higher brightness permits shorter hold time (to a point) 26

Smear Interactions Technology choices Frame rate Design choices Algorithm Brightness System choices Frame rate Latency If projector is capable of the increased refresh rate, increasing frame rate reduces smear with less impact on brightness Latency Reducing hold time can reduce latency 27

2012 Thank you. Questions?

2012 Thank you. Questions?