Radiometry, Radiosity

Total Page:16

File Type:pdf, Size:1020Kb

Radiometry, Radiosity Radiometry and radiosity © 1996-2018 Josef Pelikán CGG MFF UK Praha [email protected] http://cgg.mff.cuni.cz/~pepca/ Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 1 / 34 Global illumination, radiosity based on physics – energy transport (light transport) in simulated environment – first usage of radiosity in image synthesis: Cindy Goral (SIGGRAPH 1984) ➨ radiosity is able to compute diffuse light, secondary lighting, .. ➨ basic radiosity cannot do sharp reflections, mirrors, .. time consuming computation – Radiosity: light propagation only, RT: rendering Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 2 / 34 Radiosity - examples © David Bařina (WiKi) Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 3 / 34 Basic radiometry I Radiant flux, Radiant power d Q Φ = [ W ] d t Number of photons (converted to energy) per time unit (100W bulb: ~1019 photons/s, eye pupil from a monitor: 1012 p/s) dt Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 4 / 34 Basic radiometry II Irradiance, Radiant exitance, Radiosity d Φ( x) E (x) = [ W/m2 ] d A( x) Photon areal density (converted to energy) incident or radiated per time unit dA dt dA Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 5 / 34 Basic radiometry III Radiance d 2 Φ(x ,ω) 2 L( x ,ω) = ⊥ [ W/m /sr ] d Aω ( x) d σ(ω) Number of photons (converted to energy) per time unit passing through a small area perpendicular to the direction w. Radiation is directed to a small cone around the direction w. Radiance is a quantity defined as a density with respect to dA and with respect to solid angle ds(w). Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 6 / 34 Radiance I ➨ received/emitted radiance in direction : 2 – Lin() (Le(), Lout()) [ W/(m · sr) ] 2 N d L x, out dA d cos d dB out d cos x dI dA dA cos Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 7 / 34 Solid angles dA r2 sin d d d dA d sin d d r r2 d [] .. steradian (sr) the whole sphere .. 4 sr Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 8 / 34 Radiance II Φ(x ,ω) ∝ d σ(ω) sensor lens d σ(ω) x ω pixel Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 9 / 34 Radiance III ⊥ Φ(x ,ω) ∝ d Aω (x) ⊥ sensor d Aω x lens ω n dA θ pixel ω ⊥ d Aω = d A⋅cosθ Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 10 / 34 Energy preservation law (ray / fiber) L1() L1 d1 dA1 L2 d 2 dA2 r emitted received d1 dA1 power power L2() d 2 dA2 Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 11 / 34 Energy preservation law (ray / fiber) L1() L1 d1 dA1 L2 d 2 dA2 r T d dA d dA d 1 1 2 2 dA 1 1 dA dA 1 2 r2 L2() ray capacity L1 L2 d 2 dA2 ray ... radiance L Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 12 / 34 Light measurement ➨ measured quantity is proportional to radiance from visible scene sensor: area A2 aperture: area A1 R Lin A, cos d dA Lin T A2 Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 13 / 34 BSDF (Local transfer function) („Bidirectional Scattering Distribution Function“, older term: BRDF) L ( ) n i i Lo(o) dswi o i d L (ω ) d L (ω ) f (ω →ω ) = o o = o o s i o d E (ω ) ⊥ i Li (ωi) cosθi d σ (ωi) Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 14 / 34 Helmholtz law (reciprocity) ➨ for real surfaces (physically plausible): f in out f out in ➨ general BSDF needs not be isotropic (invariant to rotation around surface normal) – metal surfaces polished in one direction, .. f in,in,out,out f in,in ,out,out Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 15 / 34 Local rendering equation L (x, ) n i i Lo(x,o) ray-cast dswi Ls(x,o) xi vacuum: Li(x,) = Lo(xM(x,w),-) Le(x,o) = L (y,-) x o own emission at x Lo( x ,ωo) = Le ( x ,ωo) + ⊥ +∫ Lo( y ,−ωi)⋅f s( x ,ωi →ωo)⋅d σ x (ωi) Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 16 / 34 Radiance received from a surface N y dA y yo Nx xi cosyo dA di x y 2 x cos cos Geometric term: G y,x yo xi x y 2 Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 17 / 34 Radiance received from a surface Lo x, o integral over all incoming directions Le x, o f x,i o Li x,i cosxi di Le x, o f x,i o Lo y,i G y,x dA S integral over an emitting surface (assumption: the whole surface S is visible from x) Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 18 / 34 Reflected light N z z N N y dA x zi y yo xo xi x if y sees x Terminology: L y,x Lo y,x y Li x, y x f y,x, z f x, y x z x Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 19 / 34 Indirect radiance equation 1 if y sees x V y,x 0 else L x, z Le x, z f y,x, z L y,x G y,x V y,x dA S BRDF geometric own (emitted) terms radiant exitance Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 20 / 34 Radiosity equation ➨ assumption – ideal diffuse (Lambertian) surface: – BRDF is not dependent on incoming/outgoing angles – outgoing radiance L(y,) independent on direction L x, z Le x, z f x L y,x G y,x V y,x dA S L x, z B x , Le x, z E x , f x x G y,x V y,x B x E x x B y dA S Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 21 / 34 Discrete solution B x E x x B y g y,x dA S G y,x V y,x where g y,x solution B is infinit-dimensional ➨ discretization of the task: – Monte-Carlo ray-tracing (dependent on camera) – classical radosity (finite/boundary elements FEM) Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 22 / 34 General radiosity method object surfaces divided into set of elements definition of knot points on elements – radiosity will be computed there choice of an approximation method and error metric – basis functions for convex blend from knot points coefficients of linear equation system – “form-factors” Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 23 / 34 General radiosity method solution of linear equation system – result: radiosity in knot points reconstruction of values on whole surfaces – linear blends using basis functions and knot point radiosities rendering of results (arbitrary view) – light is proportional to radiosity Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 24 / 34 Remarks step is performed in algorithm design phase – does not appear in an implementation some advanced methods do not strictly follow the sequence to – sometimes a computation flow goes back to some previous phase, some phases can be iterated,.. Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 25 / 34 Radiosity approximation constant bilinear quadratic (knots in (knots in (more knots centers) vertices) in centers..) Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 26 / 34 Constant elements ➨ on every element Ai constant reflectivity is assumed , radiosity B – average of B(x): – terminology: i, Bi for i = 1 .. N average over B x E x x B y g y,x dA area Ai S 1 N B E B g y,x dA dA i i i A j j i i j1 Ai Aj radiosity received in point x (lying on Ai) Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 27 / 34 Basic radiosity equation switching sum and integral: N 1 Bi Ei i Bj g y,x dAj dAi Ai j1 Ai Aj geometric term – form factor Fij (part of energy irradiated from Ai received directly by Aj) N B E B F W i i i j ij m2 j1 Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 28 / 34 Intuitive derivation N BiAi EiAi i BjAj Fji W j1 emitted power = own power + reflected power reciprocal rule: Aj Fji Ai Fij N 1 BiAi EiAi i Bj Fij Ai Ai j1 N B E B F W i i i j ij m2 j1 Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 29 / 34 System of linear equations N Bi i Bj Fij Ei i 1.. N j1 1 1F1,1 1F1,2 .. 1F1,N B1 E1 2F2,1 1 2F2,2 .. 2F2,N B2 E2 .. .. .. .. .. .. NFN,1 NFN,2 .. 1 NFN,N BN EN vector of unknown vars [Bi] Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 30 / 34 System of linear equations ➨ for planar (convex) surfaces: Fii = 0 – the diagonal contain only unit values ➨ nondiagonal items are usually very small (abs value) – matrix is “diagonally dominant” system is stable and can be solved by iterative methods (Jacobi, Gauss-Seidel) ➨ for light change (light sources) [Ei] system needs not to be fully re-computed, only reverse phase could be done Radiometry 2018 © Josef Pelikán, http://cgg.mff.cuni.cz/~pepca 31 / 34 Radiosity to vertices Even in constant element approach usage of some color interpolation method is recommended (Gouraud) (B +B )/2 1 2 B2 B1 B B 2 1 ..
Recommended publications
  • Radiosity Radiosity
    Radiosity Radiosity Motivation: what is missing in ray-traced images? Indirect illumination effects Color bleeding Soft shadows Radiosity is a physically-based illumination algorithm capable of simulating the above phenomena in a scene made of ideal diffuse surfaces. Books: Cohen and Wallace, Radiosity and Realistic Image Synthesis, Academic Press Professional 1993. Sillion and Puech, Radiosity and Global Illumination, Morgan- Kaufmann, 1994. Indirect illumination effects Radiosity in a Nutshell Break surfaces into many small elements Light source Formulate and solve a linear system of equations that models the equilibrium of inter-reflected Eye light in a scene. Diffuse Reflection The solution gives us the amount of light leaving each point on each surface in the scene. Once solution is computed, the shaded elements can be quickly rendered from any viewpoint. Meshing (partition into elements) Radiosity Input geometry Change geometry Form-Factors Change light or colors Solution Render Change view 1 Radiometric quantities The Radiosity Equation Radiant energy [J] Assume that surfaces in the scene have been discretized into n small elements. Radiant power (flux): radiant energy per second [W] Assume that each element emits/reflects light Irradiance (flux density): incident radiant power per uniformly across its surface. unit area [W/m2] Define the radiosity B as the total hemispherical Radiosity (flux density): outgoing radiant power per flux density (W/m2) leaving a surface. unit area [W/m2] Let’’s write down an expression describing the total flux (light power) leaving element i in the Radiance (angular flux dedensity):nsity): radiant power per scene: unit projected area per unit solid angle [W/(m2 sr)] scene: total flux = emitted flux + reflected flux The Radiosity Equation The Form Factor Total flux leaving element i: Bi Ai The form factor Fji tells us how much of the flux Total flux emitted by element i: Ei Ai leaving element j actually reaches element i.
    [Show full text]
  • Black Body Radiation and Radiometric Parameters
    Black Body Radiation and Radiometric Parameters: All materials absorb and emit radiation to some extent. A blackbody is an idealization of how materials emit and absorb radiation. It can be used as a reference for real source properties. An ideal blackbody absorbs all incident radiation and does not reflect. This is true at all wavelengths and angles of incidence. Thermodynamic principals dictates that the BB must also radiate at all ’s and angles. The basic properties of a BB can be summarized as: 1. Perfect absorber/emitter at all ’s and angles of emission/incidence. Cavity BB 2. The total radiant energy emitted is only a function of the BB temperature. 3. Emits the maximum possible radiant energy from a body at a given temperature. 4. The BB radiation field does not depend on the shape of the cavity. The radiation field must be homogeneous and isotropic. T If the radiation going from a BB of one shape to another (both at the same T) were different it would cause a cooling or heating of one or the other cavity. This would violate the 1st Law of Thermodynamics. T T A B Radiometric Parameters: 1. Solid Angle dA d r 2 where dA is the surface area of a segment of a sphere surrounding a point. r d A r is the distance from the point on the source to the sphere. The solid angle looks like a cone with a spherical cap. z r d r r sind y r sin x An element of area of a sphere 2 dA rsin d d Therefore dd sin d The full solid angle surrounding a point source is: 2 dd sind 00 2cos 0 4 Or integrating to other angles < : 21cos The unit of solid angle is steradian.
    [Show full text]
  • Guide for the Use of the International System of Units (SI)
    Guide for the Use of the International System of Units (SI) m kg s cd SI mol K A NIST Special Publication 811 2008 Edition Ambler Thompson and Barry N. Taylor NIST Special Publication 811 2008 Edition Guide for the Use of the International System of Units (SI) Ambler Thompson Technology Services and Barry N. Taylor Physics Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899 (Supersedes NIST Special Publication 811, 1995 Edition, April 1995) March 2008 U.S. Department of Commerce Carlos M. Gutierrez, Secretary National Institute of Standards and Technology James M. Turner, Acting Director National Institute of Standards and Technology Special Publication 811, 2008 Edition (Supersedes NIST Special Publication 811, April 1995 Edition) Natl. Inst. Stand. Technol. Spec. Publ. 811, 2008 Ed., 85 pages (March 2008; 2nd printing November 2008) CODEN: NSPUE3 Note on 2nd printing: This 2nd printing dated November 2008 of NIST SP811 corrects a number of minor typographical errors present in the 1st printing dated March 2008. Guide for the Use of the International System of Units (SI) Preface The International System of Units, universally abbreviated SI (from the French Le Système International d’Unités), is the modern metric system of measurement. Long the dominant measurement system used in science, the SI is becoming the dominant measurement system used in international commerce. The Omnibus Trade and Competitiveness Act of August 1988 [Public Law (PL) 100-418] changed the name of the National Bureau of Standards (NBS) to the National Institute of Standards and Technology (NIST) and gave to NIST the added task of helping U.S.
    [Show full text]
  • RADIATION HEAT TRANSFER Radiation
    MODULE I RADIATION HEAT TRANSFER Radiation Definition Radiation, energy transfer across a system boundary due to a T, by the mechanism of photon emission or electromagnetic wave emission. Because the mechanism of transmission is photon emission, unlike conduction and convection, there need be no intermediate matter to enable transmission. The significance of this is that radiation will be the only mechanism for heat transfer whenever a vacuum is present. Electromagnetic Phenomena. We are well acquainted with a wide range of electromagnetic phenomena in modern life. These phenomena are sometimes thought of as wave phenomena and are, consequently, often described in terms of electromagnetic wave length, . Examples are given in terms of the wave distribution shown below: m UV X Rays 0.4-0.7 Thermal , ht Radiation Microwave g radiation Visible Li 10-5 10-4 10-3 10-2 10-1 10-0 101 102 103 104 105 Wavelength, , m One aspect of electromagnetic radiation is that the related topics are more closely associated with optics and electronics than with those normally found in mechanical engineering courses. Nevertheless, these are widely encountered topics and the student is familiar with them through every day life experiences. From a viewpoint of previously studied topics students, particularly those with a background in mechanical or chemical engineering, will find the subject of Radiation Heat Transfer a little unusual. The physics background differs fundamentally from that found in the areas of continuum mechanics. Much of the related material is found in courses more closely identified with quantum physics or electrical engineering, i.e. Fields and Waves.
    [Show full text]
  • RADIANCE® ULTRA 27” Premium Endoscopy Visualization
    EW NNEW RADIANCE® ULTRA 27” Premium Endoscopy Visualization The Radiance® Ultra series leads the industry as a revolutionary display with the aim to transform advanced visualization technology capabilities and features into a clinical solution that supports the drive to improve patient outcomes, improve Optimized for endoscopy applications workflow efficiency, and lower operating costs. Advanced imaging capabilities Enhanced endoscopic visualization is accomplished with an LED backlight technology High brightness and color calibrated that produces the brightest typical luminance level to enable deep abdominal Cleanable splash-proof design illumination, overcoming glare and reflection in high ambient light environments. Medi-Match™ color calibration assures consistent image quality and accurate color 10-year scratch-resistant-glass guarantee reproduction. The result is outstanding endoscopic video image performance. ZeroWire® embedded receiver optional With a focus to improve workflow efficiency and workplace safety, the Radiance Ultra series is available with an optional built-in ZeroWire receiver. When paired with the ZeroWire Mobile battery-powered stand, the combination becomes the world’s first and only truly cordless and wireless mobile endoscopic solution (patent pending). To eliminate display scratches caused by IV poles or surgical light heads, the Radiance Ultra series uses scratch-resistant, splash-proof edge-to-edge glass that includes an industry-exclusive 10-year scratch-resistance guarantee. RADIANCE® ULTRA 27” Premium Endoscopy
    [Show full text]
  • The International System of Units (SI)
    NAT'L INST. OF STAND & TECH NIST National Institute of Standards and Technology Technology Administration, U.S. Department of Commerce NIST Special Publication 330 2001 Edition The International System of Units (SI) 4. Barry N. Taylor, Editor r A o o L57 330 2oOI rhe National Institute of Standards and Technology was established in 1988 by Congress to "assist industry in the development of technology . needed to improve product quality, to modernize manufacturing processes, to ensure product reliability . and to facilitate rapid commercialization ... of products based on new scientific discoveries." NIST, originally founded as the National Bureau of Standards in 1901, works to strengthen U.S. industry's competitiveness; advance science and engineering; and improve public health, safety, and the environment. One of the agency's basic functions is to develop, maintain, and retain custody of the national standards of measurement, and provide the means and methods for comparing standards used in science, engineering, manufacturing, commerce, industry, and education with the standards adopted or recognized by the Federal Government. As an agency of the U.S. Commerce Department's Technology Administration, NIST conducts basic and applied research in the physical sciences and engineering, and develops measurement techniques, test methods, standards, and related services. The Institute does generic and precompetitive work on new and advanced technologies. NIST's research facilities are located at Gaithersburg, MD 20899, and at Boulder, CO 80303.
    [Show full text]
  • Ikonos DN Value Conversion to Planetary Reflectance Values by David Fleming CRESS Project, UMCP Geography April 2001
    Ikonos DN Value Conversion to Planetary Reflectance Values By David Fleming CRESS Project, UMCP Geography April 2001 This paper was produced by the CRESS Project at the University of Maryland. CRESS is sponsored by the Earth Science Enterprise Applications Directorate at NASA Stennis Space Center. The following formula from the Landsat 7 Science Data Users Handbook was used to convert Ikonos DN values to planetary reflectance values: ρp = planetary reflectance Lλ = spectral radiance at sensor’s aperture 2 ρp = π * Lλ * d ESUNλ = band dependent mean solar exoatmospheric irradiance ESUNλ * cos(θs) θs = solar zenith angle d = earth-sun distance, in astronomical units For Landsat 7, the spectral radiance Lλ = gain * DN + offset, which can also be expressed as Lλ = (LMAX – LMIN)/255 *DN + LMIN. The LMAX and LMIN values for each of the Landsat bands are given below in Table 1. These values may vary for each scene and the metadata contains image specific values. Table 1. ETM+ Spectral Radiance Range (W/m2 * sr * µm) Low Gain High Gain Band Number LMIN LMAX LMIN LMAX 1 -6.2 293.7 -6.2 191.6 2 -6.4 300.9 -6.4 196.5 3 -5.0 234.4 -5.0 152.9 4 -5.1 241.1 -5.1 157.4 5 -1.0 47.57 -1.0 31.06 6 0.0 17.04 3.2 12.65 7 -0.35 16.54 -0.35 10.80 8 -4.7 243.1 -4.7 158.3 (from Landsat 7 Science Data Users Handbook) The Ikonos spectral radiance, Lλ, can be calculated by using the formula given in the Space Imaging Document Number SE-REF-016: 2 Lλ (mW/cm * sr) = DN / CalCoefλ However, in order to use these values in the conversion formula, the values must be in units of 2 W/m * sr * µm.
    [Show full text]
  • Radiometry of Light Emitting Diodes Table of Contents
    TECHNICAL GUIDE THE RADIOMETRY OF LIGHT EMITTING DIODES TABLE OF CONTENTS 1.0 Introduction . .1 2.0 What is an LED? . .1 2.1 Device Physics and Package Design . .1 2.2 Electrical Properties . .3 2.2.1 Operation at Constant Current . .3 2.2.2 Modulated or Multiplexed Operation . .3 2.2.3 Single-Shot Operation . .3 3.0 Optical Characteristics of LEDs . .3 3.1 Spectral Properties of Light Emitting Diodes . .3 3.2 Comparison of Photometers and Spectroradiometers . .5 3.3 Color and Dominant Wavelength . .6 3.4 Influence of Temperature on Radiation . .6 4.0 Radiometric and Photopic Measurements . .7 4.1 Luminous and Radiant Intensity . .7 4.2 CIE 127 . .9 4.3 Spatial Distribution Characteristics . .10 4.4 Luminous Flux and Radiant Flux . .11 5.0 Terminology . .12 5.1 Radiometric Quantities . .12 5.2 Photometric Quantities . .12 6.0 References . .13 1.0 INTRODUCTION Almost everyone is familiar with light-emitting diodes (LEDs) from their use as indicator lights and numeric displays on consumer electronic devices. The low output and lack of color options of LEDs limited the technology to these uses for some time. New LED materials and improved production processes have produced bright LEDs in colors throughout the visible spectrum, including white light. With efficacies greater than incandescent (and approaching that of fluorescent lamps) along with their durability, small size, and light weight, LEDs are finding their way into many new applications within the lighting community. These new applications have placed increasingly stringent demands on the optical characterization of LEDs, which serves as the fundamental baseline for product quality and product design.
    [Show full text]
  • Causes of Color Radiometry for Color
    Causes of color • The sensation of color is caused • Light could be produced in by the brain. different amounts at different wavelengths (compare the sun and • Some ways to get this sensation a fluorescent light bulb). include: • Light could be differentially – Pressure on the eyelids reflected (e.g. some pigments). – Dreaming, hallucinations, etc. • It could be differentially refracted - • Main way to get it is the (e.g. Newton’s prism) response of the visual system to • Wavelength dependent specular the presence/absence of light at reflection - e.g. shiny copper penny various wavelengths. (actually most metals). • Flourescence - light at invisible wavelengths is absorbed and reemitted at visible wavelengths. Computer Vision - A Modern Approach Set: Color Radiometry for color • All definitions are now “per unit wavelength” • All units are now “per unit wavelength” • All terms are now “spectral” • Radiance becomes spectral radiance – watts per square meter per steradian per unit wavelength • Radiosity --- spectral radiosity Computer Vision - A Modern Approach Set: Color 1 Black body radiators • Construct a hot body with near-zero albedo (black body) – Easiest way to do this is to build a hollow metal object with a tiny hole in it, and look at the hole. • The spectral power distribution of light leaving this object is a simple function of temperature Ê 1 ˆ Ê 1 ˆ E(l) µ 5 Á ˜ Ë l ¯ Ë exp(hc klT )-1¯ • This leads to the notion of color temperature --- the temperature of a black body that would look the same Computer Vision - A Modern Approach Set: Color Measurements of relative spectral power of sunlight, made by J.
    [Show full text]
  • Lighting - the Radiance Equation
    CHAPTER 3 Lighting - the Radiance Equation Lighting The Fundamental Problem for Computer Graphics So far we have a scene composed of geometric objects. In computing terms this would be a data structure representing a collection of objects. Each object, for example, might be itself a collection of polygons. Each polygon is sequence of points on a plane. The ‘real world’, however, is ‘one that generates energy’. Our scene so far is truly a phantom one, since it simply is a description of a set of forms with no substance. Energy must be generated: the scene must be lit; albeit, lit with virtual light. Computer graphics is concerned with the construction of virtual models of scenes. This is a relatively straightforward problem to solve. In comparison, the problem of lighting scenes is the major and central conceptual and practical problem of com- puter graphics. The problem is one of simulating lighting in scenes, in such a way that the computation does not take forever. Also the resulting 2D projected images should look as if they are real. In fact, let’s make the problem even more interesting and challenging: we do not just want the computation to be fast, we want it in real time. Image frames, in other words, virtual photographs taken within the scene must be produced fast enough to keep up with the changing gaze (head and eye moves) of Lighting - the Radiance Equation 35 Great Events of the Twentieth Century35 Lighting - the Radiance Equation people looking and moving around the scene - so that they experience the same vis- ual sensations as if they were moving through a corresponding real scene.
    [Show full text]
  • Radiometry and Photometry
    Radiometry and Photometry Wei-Chih Wang Department of Power Mechanical Engineering National TsingHua University W. Wang Materials Covered • Radiometry - Radiant Flux - Radiant Intensity - Irradiance - Radiance • Photometry - luminous Flux - luminous Intensity - Illuminance - luminance Conversion from radiometric and photometric W. Wang Radiometry Radiometry is the detection and measurement of light waves in the optical portion of the electromagnetic spectrum which is further divided into ultraviolet, visible, and infrared light. Example of a typical radiometer 3 W. Wang Photometry All light measurement is considered radiometry with photometry being a special subset of radiometry weighted for a typical human eye response. Example of a typical photometer 4 W. Wang Human Eyes Figure shows a schematic illustration of the human eye (Encyclopedia Britannica, 1994). The inside of the eyeball is clad by the retina, which is the light-sensitive part of the eye. The illustration also shows the fovea, a cone-rich central region of the retina which affords the high acuteness of central vision. Figure also shows the cell structure of the retina including the light-sensitive rod cells and cone cells. Also shown are the ganglion cells and nerve fibers that transmit the visual information to the brain. Rod cells are more abundant and more light sensitive than cone cells. Rods are 5 sensitive over the entire visible spectrum. W. Wang There are three types of cone cells, namely cone cells sensitive in the red, green, and blue spectral range. The approximate spectral sensitivity functions of the rods and three types or cones are shown in the figure above 6 W. Wang Eye sensitivity function The conversion between radiometric and photometric units is provided by the luminous efficiency function or eye sensitivity function, V(λ).
    [Show full text]
  • Basic Principles of Imaging and Photometry Lecture #2
    Basic Principles of Imaging and Photometry Lecture #2 Thanks to Shree Nayar, Ravi Ramamoorthi, Pat Hanrahan Computer Vision: Building Machines that See Lighting Camera Physical Models Computer Scene Scene Interpretation We need to understand the Geometric and Radiometric relations between the scene and its image. A Brief History of Images 1558 Camera Obscura, Gemma Frisius, 1558 A Brief History of Images 1558 1568 Lens Based Camera Obscura, 1568 A Brief History of Images 1558 1568 1837 Still Life, Louis Jaques Mande Daguerre, 1837 A Brief History of Images 1558 1568 1837 Silicon Image Detector, 1970 1970 A Brief History of Images 1558 1568 1837 Digital Cameras 1970 1995 Geometric Optics and Image Formation TOPICS TO BE COVERED : 1) Pinhole and Perspective Projection 2) Image Formation using Lenses 3) Lens related issues Pinhole and the Perspective Projection Is an image being formed (x,y) on the screen? YES! But, not a “clear” one. screen scene image plane r =(x, y, z) y optical effective focal length, f’ z axis pinhole x r'=(x', y', f ') r' r x' x y' y = = = f ' z f ' z f ' z Magnification A(x, y, z) B y d B(x +δx, y +δy, z) optical f’ z A axis Pinhole A’ d’ x planar scene image plane B’ A'(x', y', f ') B'(x'+δx', y'+δy', f ') From perspective projection: Magnification: x' x y' y d' (δx')2 + (δy')2 f ' = = m = = = f ' z f ' z d (δx)2 + (δy)2 z x'+δx' x +δx y'+δy' y +δy = = Area f ' z f ' z image = m2 Areascene Orthographic Projection Magnification: x' = m x y' = m y When m = 1, we have orthographic projection r =(x, y, z) r'=(x', y', f ') y optical z axis x z ∆ image plane z This is possible only when z >> ∆z In other words, the range of scene depths is assumed to be much smaller than the average scene depth.
    [Show full text]