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Depth II + Motion I Lecture 13 (Chapters 6+8) Jonathan Pillow Sensation & Perception (PSY 345 / NEU 325) Spring 2015 1

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Page 1: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Depth II + Motion I

Lecture 13(Chapters 6+8)

Jonathan PillowSensation & Perception (PSY 345 / NEU 325)

Spring 2015

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Page 2: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

depth from focus: tilt shift photography

Keith Loutit : tilt shift + time-lapse photography http://vimeo.com/keithloutit/videos

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Page 3: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Pictorial Non-Pictorial

• occlusion• relative size• shadow• texture gradient• height in plane• linear perspective

• motion parallax

Monocular depth cues:

• accommodation (“depth from focus”)

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Page 4: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

• Binocular depth cue: A depth cue that relies on information from both eyes

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Page 5: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Two Retinas Capture Different images

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Page 6: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Finger-Sausage Illusion:

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Page 7: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Pen Test:

Hold a pen out at half arm’s length

With the other hand, see how rapidly you can place the cap on the pen.

First using two eyes, then with one eye closed

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Page 8: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Binocular depth cues:1. Vergence angle - angle between the eyes

If you know the angles, you can deduce the distance

convergence divergence

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Page 9: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

2. Binocular Disparity - difference between two retinal images

Stereopsis - depth perception that results from binocular disparity information

(This is what they’re offering in “3D movies”...)

Binocular depth cues:

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Page 10: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

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Page 11: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Retinal images in left & right eyes

Figuring out the depth from these two images is a challenging computational problem. (Can you reason it out?)

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Page 12: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

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Page 13: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Horopter: circle of points that fall at zero disparity(i.e., they land on corresponding parts of the two retinas)

A bit of geometric reasoning will convince you that this surface is a circle containing the fixation point and the two eyes

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Page 14: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

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Page 15: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

point with crossed disparity

appears closer

point with uncrossed disparity

appears further

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Page 16: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Is this a simple picture or a complicated computational problem?

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Page 17: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Interpreting the visual information from three circles

Known as the “correspondence problem” - which points in the left eye go with which points in the right eye?

This one requires an accidental viewpoint

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Page 18: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Wheatstone’s stereoscope• device for presenting one different images to the two eyes

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Page 19: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Free fusing - focusing the eyes either nearer or farther than this image so that each eye sees a different image

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Page 20: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Free fusing - focusing the eyes either nearer or farther than this image so that each eye sees a different image

“Crossed-fusion”

L retina R retina

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Page 21: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Free fusing - focusing the eyes either nearer or farther than this image so that each eye sees a different image

“uncrossed fusion”

L retina R retina

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Page 22: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Random Dot Stereogram - same concept, but no detectable “features” in either image. Details of dot pattern allow brain to solve the correspondence problem

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Page 23: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

“Magic Eye” images use same principle

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Page 24: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

If you were designing a visual system, how might you go about designing neurons tuned for different disparity?

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Page 25: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

The brain solves this problem with disparity-tuned neurons

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Page 26: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Binocular Vision and Stereopsis

How is stereopsis implemented in the human brain?

• Input from two eyes must converge onto the same cell

• Many neurons: respond best when the same image falls on corresponding points in the two retinas(this is the neural basis for the horopter)

• However: many neurons respond best when similar images occupy slightly different positions on the two retinas

• i.e., these neurons are “tuned to a particular disparity”

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Page 27: Lecture 13 (Chapters 6+8) - Pillow Lab: home pagepillowlab.princeton.edu › teaching › sp2015 › slides › Lec13... · 2015-03-31 · Depth II + Motion I Lecture 13 (Chapters

Panum’s fusional area: only certain range of disparities that the brain can fuse

- comes from distribution of disparity-tuned neurons

Panum’s fusionalarea

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