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Perception of illumination and shadows Lavanya Sharan February 14th, 2011

Perception of illumination and shadows

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Perception of illumination and shadows. Lavanya Sharan February 14th, 2011. Studied indirectly. Not a lot of studies examine illumination or shading directly Role of illumination and shading in perception of 3-D shape, reflectance, object identity and space. Outline. Shape from shading - PowerPoint PPT Presentation

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Page 1: Perception of illumination and shadows

Perception of illumination and

shadowsLavanya Sharan

February 14th, 2011

Page 2: Perception of illumination and shadows

Studied indirectly

•Not a lot of studies examine illumination or shading directly

•Role of illumination and shading in perception of 3-D shape, reflectance, object identity and space

Page 3: Perception of illumination and shadows

Outline

•Shape from shading

•Illumination estimation

•Shadows

Page 4: Perception of illumination and shadows

Shape from shading is under-constrained.

Fig 9.11, VPfaCGP

And yet, we perceive unique and stable shapes.

Page 5: Perception of illumination and shadows

Theoretical cues for shape from shading

• Reflectance map (Horn, 1977)

• Isophotes (Koenderink & Van Doorn, 1980)

• Image orientation (Fleming, Torralba & Adelson, 2004)

Page 6: Perception of illumination and shadows

Theoretical cues for shape from shading

Reflectance map (Horn, 1977)

•Representation of scene brightness as a function of 3-D surface orientation

•Ignores shadows, inter-reflections, vignetting, translucency etc.

•Unclear whether this relationship between image intensity & surface orientation is used by visual system

Horn & Sjoberg, 1978

Page 7: Perception of illumination and shadows

Theoretical cues for shape from shading

Isophotes (Koenderink & Van Doorn, 1980)

•Curves of constant intensity, depend on illumination and shape

•Patterns of isophotes can reveal shape (under assumptions of lighting)

•The visual system could use these as a cue

Fig 9.12, VPfaCGP

Page 8: Perception of illumination and shadows

Theoretical cues for shape from shading

Image orientation (Fleming, Torralba & Adelson, 2004)

•Orientation filters have strong responses for strong curvature regions.

•By measuring these across a surface can get local geometry

•The visual system could use this relationship between image orientation and surface curvature. Fig 9.13, VPfaCGP

Page 9: Perception of illumination and shadows

Why is shape from shading hard?

Lots of ambiguities.

• Convex vs. concave?

• Surface orientation change vs. surface reflectance change?

• Bas-relief ambiguity

Page 10: Perception of illumination and shadows

Ambiguities in shape-from-shading

• Convex vs. concave?

(Ramachandran, 1988)

Page 11: Perception of illumination and shadows

• Reflectance vs. orientation change?

(Knill & Kersten, 1991)

Ambiguities in shape-from-shading

Page 12: Perception of illumination and shadows

• Bas-relief ambiguity

(Belhumeur et al., 1999)

Ambiguities in shape-from-shading

Page 13: Perception of illumination and shadows

Gauge figure task to study shape perception

(Koenderink et al., 1992)

Page 14: Perception of illumination and shadows

What have we learnt from gauge figure tasks?• Subjects are consistent. Their (inferred)

shapes are related by affine transforms. (Koenderink et al., 1992)

• For simple shapes, contours are often enough for estimating shape, shading plays a lesser role. (Mamassian & Kersten., 1996; Koenderink et al., 1996; Cole et al., 2009)

• Illumination changes causes subtle distortions of perceived shape. (Koenderink et al., 1996; Caniard & Fleming, 2007)

Page 15: Perception of illumination and shadows

Intrinsic image analysis

Fig 9.15, VPfaCGP

Idea: Visual system separates retinal image into layers that represent distinct physical causes. (Barrow & Tenenbaum, 1978)

How? Proposals include Retinex, anchoring theory, etc.

Page 16: Perception of illumination and shadows

Mutual illumination affects reflectance perception

Ruppertsberg & Bloj, 2007

We can distinguish black and white rooms seen in isolation based on inter-reflections. (Gilchrist & Jacobsen, 1984)

Mutual illumination estimation is not perfect, sometimes perceived as surface color. (Bloj et al., 1999; Doerschner et al., 2004)