Let s magnify the critical bit
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Let’s magnify the critical bit. PowerPoint PPT Presentation


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Let’s magnify the critical bit. Edges are important. Inferring edges. Subjective contours. Read me…. Shadow letters are surprisingly easy to read. Minimal shadow can give you faces. http://www.techfak.uni-bielefeld.de/ags/ni/projects/cognitivrobot/eyetrack/eye_concept.html.

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Let’s magnify the critical bit.

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Let’s magnify the critical bit.


Edges are important


Inferring edges

Subjective contours


Read me…...


Shadow letters are surprisingly easy to read.


Minimal shadow can give you faces

http://www.techfak.uni-bielefeld.de/ags/ni/projects/cognitivrobot/eyetrack/eye_concept.html


If you obey the rules

inversion

http://www.techfak.uni-bielefeld.de/ags/ni/projects/cognitivrobot/eyetrack/eye_concept.html


What is the problem here?

http://www.techfak.uni-bielefeld.de/ags/ni/projects/cognitivrobot/eyetrack/eye_concept.html


Weird color is no problem

But shadow must be darker

http://www.techfak.uni-bielefeld.de/ags/ni/projects/cognitivrobot/eyetrack/eye_concept.html


WHAT IS THIS?


Does this seem likely?


This seems more likely

“Good continuation”


Depth Cues

From 2D-3D


Occlusion


Is this likely?


Size


Texture


Relative position (height in field)


Here is why it works


You don’t need to recognize the objects


Areal Perspective (haze)

The misty mountains far away


Linear Perspective

Vanishing point


Linear Perspective?

Where is the vanishing point?


Linear Perspective?

These local bits don’t add up


Linear Perspective?

These add up…ambiguously


Shadows

But where is the sun?


And let’s not forget

Stereopsis,

Vergence,

and

Motion parallax


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