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Basic Principles of Surface Reflectance Lecture #3 Thanks to Shree Nayar, Ravi Ramamoorthi, Pat Hanrahan.

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Presentation on theme: "Basic Principles of Surface Reflectance Lecture #3 Thanks to Shree Nayar, Ravi Ramamoorthi, Pat Hanrahan."— Presentation transcript:

1 Basic Principles of Surface Reflectance Lecture #3 Thanks to Shree Nayar, Ravi Ramamoorthi, Pat Hanrahan

2 Methods Relying on Surface Reflectance Shape from Shading Photometric Stereo Reflection Separation Texture Modeling

3 Computer Vision: Building Machines that See Lighting Scene Camera Computer Physical Models We need to understand the relation between the lighting, surface reflectance and medium and the image of the scene.

4 Surface Appearance Image intensities = f ( normal, surface reflectance, illumination ) Surface Reflection depends on both the viewing and illumination direction. source sensor surface element normal

5 BRDF: Bidirectional Reflectance Distribution Function x y z source viewing direction surface element normal incident direction Irradiance at Surface in direction Radiance of Surface in direction BRDF :

6 Important Properties of BRDFs x y z source viewing direction surface element normal incident direction BRDF is only a function of 3 variables : Rotational Symmetry: BRDF does not change when surface is rotated about the normal. Helmholtz Reciprocity: (follows from 2 nd Law of Thermodynamics) BRDF does not change when source and viewing directions are swapped.

7 Derivation of the Scene Radiance Equation From the definition of BRDF:

8 Derivation of the Scene Radiance Equation – Important! From the definition of BRDF: Write Surface Irradiance in terms of Source Radiance: Integrate over entire hemisphere of possible source directions: Convert from solid angle to theta-phi representation:

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10 Differential Solid Angle and Spherical Polar Coordinates

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12 Mechanisms of Reflection source surface reflection surface incident direction body reflection Body Reflection: Diffuse Reflection Matte Appearance Non-Homogeneous Medium Clay, paper, etc Surface Reflection: Specular Reflection Glossy Appearance Highlights Dominant for Metals Image Intensity = Body Reflection + Surface Reflection

13 Mechanisms of Surface Reflection Body Reflection: Diffuse Reflection Matte Appearance Non-Homogeneous Medium Clay, paper, etc Surface Reflection: Specular Reflection Glossy Appearance Highlights Dominant for Metals Many materials exhibit both Reflections:

14 Diffuse Reflection and Lambertian BRDF viewing direction surface element normal incident direction Lambertian BRDF is simply a constant : albedo Surface appears equally bright from ALL directions! (independent of ) Surface Radiance : Commonly used in Vision and Graphics! source intensity source intensity I

15 Diffuse Reflection and Lambertian BRDF

16 White-out Conditions from an Overcast Sky CAN’T perceive the shape of the snow covered terrain! CAN perceive shape in regions lit by the street lamp!! WHY?

17 Diffuse Reflection from Uniform Sky Assume Lambertian Surface with Albedo = 1 (no absorption) Assume Sky radiance is constant Substituting in above Equation: Radiance of any patch is the same as Sky radiance !! (white-out condition)

18 Specular Reflection and Mirror BRDF source intensity I viewing direction surface element normal incident direction specular/mirror direction Mirror BRDF is simply a double-delta function : Very smooth surface. All incident light energy reflected in a SINGLE direction. (only when = ) Surface Radiance : specular albedo

19 Specular Reflections in Nature Compare sizes of objects and their reflections! The reflections when seen from a lower view point are always longer than when viewed from a higher view point. It's surprising how long the reflections are when viewed sitting on the river bank.

20 Specular Reflections in Nature The reflections of bright objects have better perceived contrast. Intensity of reflected light is a fraction of the direct light – [Fresnel term (derivation in a later class)]

21 Papers to Read http://grail.cs.washington.edu/projects/sam/ Shape and Materials by Example: A Photometric Stereo Approach http://www.eecs.harvard.edu/~zickler/helmholtz.html Helmholtz Stereopsis http://www.eecs.harvard.edu/~zickler/dichromaticediting.html http://www.eecs.harvard.edu/~zickler/projects/colorsubspaces.html Color Subspaces as Photometric Invariants Specularity Removal and Dichromatic Editing


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