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Human Vision
Human Vision - Perception
SPATIAL ORIENTATION IN FLIGHT 2
Limitations of the Senses
Visual Sense Nonvisual Senses
Human Vision - Perception
SPATIAL ORIENTATION IN FLIGHT 3
Limitations of the Senses
Nonvisual SensesVisual Sense
Sluggish
Human Vision - Perception
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4 SPATIAL ORIENTATION IN FLIGHT Limitations of the Senses
Spatially Imprecise
Nonvisual SensesVisual Sense
Sluggish
Human Vision - Perception
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5VISUAL ORIENTATION 3-D Neurobehavioral Model
Human Vision - Perception
Focal Extrapersonal
(object recognition)
Action Extrapersonal (navigation)
Peripersonal(reaching)
Ambient Extrapersonal
(Spatial orientation)
Ambient Extrapersonal
Peripersonal
Focal ExtrapersonalAction
Extrapersonal
Image by MIT OpenCourseWare.Image by MIT OpenCourseWare.
VISUAL ORIENTATION The Two Visual System Hypothesis
6
Human Vision - Perception
Image by MIT OpenCourseWare.
VISUAL ORIENTATION The Two Visual System Hypothesis
7
F• Object recognition (“What?”) • Processes fine visual details • Confined to central visual field • Conscious processing (attention demanding)
• “Synthetic” spatial orientation
ocal Mode
Human Vision - Perception
Image by MIT OpenCourseWare.
8
VISUAL ORIENTATION The Two Visual System Hypothesis
F• Object • Processes fine visual details Confined to central visual field Conscious processing (attention demanding) “Synthetic” spatial orientation
•
ocal Mode recognition (“What?”)
•
•
Human Vision - Perception
Image by MIT OpenCourseWare.
VISUAL ORIENTATION 9
Alterations of The Ambient Visual Frame
Distortion -- The Ames Room Absence -- The “Black Hole” Approach
This image is in the public domain. Source: Wikipedia.
Distortion -- Memory
Original Remembered © source unknown. All rights reserved. This content is excluded from our CreativeCommons license. For more information, see http://ocw.mit.edu/fairuse.
Human Vision - Perception
Image by MIT OpenCourseWare.
VISUAL ORIENTATION 10
Ambient Visual Effects (Self-Motion)
Characteristics of Vection • Requires large retinal area (including periphery)
• More dependent on background visual field
• Relies on moving textures (sluggish response, low frequency)
• Can occur with optically degraded stimuli
Human Vision - Perception
Image by MIT OpenCourseWare.Image by MIT OpenCourseWare.
11 VISUAL ORIENTATION Ambient Visual Effects (Self-Position)
Characteristics of Field-Dependence • Similar visual requirements as vection (e.g., reliance on
background field, can tolerate optical degradation) • Tilted scenes produces changes in perceived visual vertical,
gravitational vertical and posture • Other position effects (luminance
gradients, depth)
Rod-and-frame
Human Vision - Perception
12 VISUAL ORIENTATION Ambient Visual Effects (Self-Position)
Rod-and-frame
Characteristics of Field-Dependence • Similar visual requirements as vection (e.g., reliance on
background field, can tolerate optical degradation) • Tilted scenes produces changes in perceived visual vertical,
gravitational vertical and posture • Other position effects (luminance
gradients, depth)
Human Vision - Perception
VISUAL ORIENTATION 13
Ambient Visual Effects (Self-Position)
Characteristics of Field-Dependence • Similar visual requirements as vection (e.g., reliance on
background field, can tolerate optical degradation) • Tilted scenes produces changes in perceived visual vertical,
gravitational vertical and posture • Other position effects (luminance
gradients, depth)
© source unknown. All rights reserved. Thiscontent is excluded from our CreativeCommons license. For more information, see
Rod-and-frame http://ocw.mit.edu/fairuse.
Postural Effects Human Vision - Perception
VISUAL ORIENTATION 14
Ambient Visual Effects (Self-Position)
Characteristics of Field-Dependence • Similar visual requirements as vection (e.g., reliance on
background field, can tolerate optical degradation) • Tilted scenes produces changes in perceived visual vertical,
gravitational vertical and posture • Other position effects (luminance
gradients, depth)
Rod-and-frame © source unknown. All rights reserved. This content is excluded from our CreativeCommons license. For more information, see http://ocw.mit.edu/fairuse.
Optokinetic-CervicalPostural Effects ReflexHuman Vision - Perception
VISUAL ORIENTATION 15
Ambient Luminance Gradients
Luminance Gradients• Light-to-Dark Gradient Important
in Judging Visual Vertical • Gradient Inversions Caused by
• Low Sun Angles • Clouds • Terrain Shadowing • Lunar Reflections
• Can Result in Inversion Illusions
Human Vision - Perception
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VISUAL ORIENTATION 16
Ambient Luminance Gradients
Luminance Gradients• Light-to-Dark Gradient Important
in Judging Visual Vertical • Gradient Inversions Caused by
• Low Sun Angles • Clouds • Terrain Shadowing • Lunar Reflections, etc.
• Can Result in Inversion Illusions
Human Vision - Perception
© source unknown. All rights reserved. This contentis excluded from our Creative Commons license. Formore information, see http://ocw.mit.edu/fairuse.
VISUAL ORIENTATION 17
Ambient Luminance Gradients
Luminance Gradients • Light-to-Dark Gradient Important
in Judging Visual Vertical • Gradient Inversions Caused by
• Low Sun Angles • Clouds • Terrain Shadowing • Lunar Reflections, etc.
• Can Result in Inversion Illusions
Inverted
Human Vision - Perception
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VISUAL ORIENTATION 18
Ambient Luminance Gradients
Luminance Gradients• Light-to-Dark Gradient Important
Upright
in Judging Visual Vertical • Gradient Inversions Caused by
• Low Sun Angles • Clouds • Terrain Shadowing • Lunar Reflections, etc.
• Can Result in Inversion Illusions
Human Vision - Perception
© source unknown. All rights reserved. This contentis excluded from our Creative Commons license. Formore information, see http://ocw.mit.edu/fairuse.
19 VISUAL ORIENTATION Ambient Visual Cues to Depth
Ambient Depth Cues • Linear perspective/foreshortening • Gradient of texture • Motion parallax • Illumination • Aerial perspective
Linear perspective Aerial perspective
Motion parallax Human Vision - Perception
Image courtesy of Cameron Chamberlainon Flickr.
Image courtesy of Patrick M. on Flickr.
Image by MIT OpenCourseWare.
Linear perspective Aerial perspective
20 VISUAL ORIENTATION Ambient Visual Cues to Depth
Linear Perspective & Gradient of Texture
Image courtesy of Patrick M.
Human Vision - PMotion parallax on Flickr.
erception
21 VISUAL ORIENTATION Ambient Visual Cues to Depth
Human Vision - Perception
Ambient Depth Cues • Linear perspective/foreshortening • Gradient of texture • Motion parallax • Illumination • Aerial perspective
Linear perspective Aerial perspective
Motion parallax
Image courtesy of Patrick M. on Flickr. Image courtesy of Cameron Chamberlain on Flickr.
Image by MIT OpenCourseWare.
VISUAL ORIENTATION 22
Ambient Visual Cues to Depth
Motion Parallax
Human Vision - Perception Image by MIT OpenCourseWare.
23 VISUAL ORIENTATION Ambient Visual Cues to Depth
Human Vision - Perception
Ambient Depth Cues • Linear perspective/foreshortenin• Gradient of texture • Motion parallax • Illumination • Aerial perspective
g
Linear perspective Aerial perspective
Motion parallax
Image courtesy of Patrick M. on Flickr. Image courtesy of Cameron Chamberlainon Flickr.
Image by MIT OpenCourseWare.
24 VISUAL ORIENTATION Ambient Visual Cues to Depth
Human Vision - Perception
Aerial Perspective
Image courtesy of Cameron Chamberlain on Flickr.
(a)
(b)
(c)
VISUAL ORIENTATION Focal Visual Effects
Size and Shape Constancies Rigidity is considered to be a fundamental property of objects; therefore, deviations in the size and shape of ground objects areperceived as changes in our orientation relative to the ground
25
Human Vision - Perception
Size Constancy Shape Constancy
(a)
(b)
(c)
Image by MIT OpenCourseWare.
Image by MIT OpenCourseWare.Image by MIT OpenCourseWare.
(a)
(b)
(c)
VISUAL ORIENTATION Focal Visual Effects
Size and Shape Constancies Rigidity is considered to be a fundamental property of objects; therefore, deviations in the size and shape of ground objects arperceived as changes in our orientation relative to the ground
26
Human Vision - Perception Size Constancy Shape Constancy
e
(a)
(b)
(c)
Image by MIT OpenCourseWare. Image by MIT OpenCourseWare.
Image by MIT OpenCourseWare.
(a)
(b)
(c)
27 VISUAL ORIENTATION Focal Visual Effects
Human Vision - Perception
Size and Shape Constancies Rigidity is considered to be a fundamental property of objects; therefore, deviations in the size and shape of ground objects are perceived as changes in our orientation relative to the ground
Size Constancy Shape Constancy
(a)
(b)
(c)
Image by MIT OpenCourseWare.Image by MIT OpenCourseWare.
Image by MIT OpenCourseWare.
28 Contents
• Introduction • Contrast & Frequency • Visual Pathway, Visual Image • Receptive Fields, Gestalt • Color, Color deficits, after images • Size of objects
Human Vision - Perception
29 Spatial Frequency and Contrast
Con
trast
am
plitu
de
Spatial frequency of grid
Human Vision - Perception
This image is in the public domain. For more examples:http://visiome.neuroinf.jp/modules/xoonips/detail.php?item_id=3181.
30Optic nerve - from eye to brain
• Left visual field -> right brain side
• Right visual field -> left brain side
• Retina 11cm2
• Optic nerve diameter 2mm • convergence
receptors ->ganglion • divergence
optic nerv -> visual cortex
Human Vision - Perception
Number of cellsRods: 125* 106
6* 106Cones:
1.5* 106Ganglion:
1* 106Optic nerv:
1.5* 106Optic nerv:
250* 106Primary visual cortex:
Temporal
Temporal
Pulvinar nucleus
Lateral geniculatenucleus
Superior colliculus
Optic radiation
Primary visual cortex
Optic chiasm
Left visual fieldRight visual field
Nasal
Image by MIT OpenCourseWare.
31 Rod and cone density
• On average 120 rods converge on 1 ganglion cell • On average 6 cones converge on 1 ganglion cell
Human Vision - Perception
90o70o50o30o10o10o30o 050o70o
Distance across retina
Rods
Cones
FoveaBlind spot
Num
ber/m
m2 Rods
Image by MIT OpenCourseWare.
Image of rods and cones removed due to copyright restrictions.
32 Image properties
• Image quality created by retina is not homogenous • Color vision mainly in fovea • Resolution decreases in periphery
– Best resolution for color in the fovea – Best resolution for b/w 20° parafovela
Human Vision - Perception
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33 Questions
• How come that we perceive such a nice and homogenous image of our surrounding?
• What happened to the blind-spot hole? • Why do we perceive color in the periphery?
Human Vision - Perception
34 Receptive Fields
Human Vision - Perception
On OffLight-dot
On OffLight-dot
On OffLight-dot
On OffLight-dot
+ ++++
+ +
+
__ _
_+
__ _
_
+
__ _
_
On-center Fields
Image by MIT OpenCourseWare.
Image by MIT OpenCourseWare.
35 Filling the blind spot
X 1 2 3 4 5 6 7
X 1 2 3 4 5 6 7
X 1 2 3 4 5 6 7
• Close your left eye and fixated with the right eye the X. Which number is missing? What is the color pattern at the psotion of the missing number?
• The blind spot is filled with the surrounding pattern.
Human Vision - Perception
36 Figure and background
• The total visual input is organized into figures and background. • The Gestalt-laws describe principles how figure and ground are
separated. • Figures are in front, have a border, connected, “things”. • The background is behind the figure, withour border,
uninterrupted, homogenous.
Human Vision - Perception
37 Gestalt-laws
Human Vision - Perception Image by MIT OpenCourseWare.
38 Perceptual categories
Square…………………………………
• The shapes in-between are neither sq• Our perception is organized in catego
continuos.
……
uare nor diamond. ies, even if the stimuli are r
Human Vision - Perception
Image by MIT OpenCourseWare.
…………………Diamond
39 Perceptual categories: Reproducing shapes
• Figure in B is the drawing when the shape of the Figure A is given as a tactile stimulus (without vision).
Human Vision - Perception
A B
Image by MIT OpenCourseWare.
40 Emergence
• The dog is perceived as a whole, all at once. • We do not construct the “dog” by first identifying its parts,
e.g. combining feet, ears, nose, tail, etc.
Human Vision - Perception
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41
Invariance
• simple geometrical objects arerecognized independent of rotation, translation, and scale,(and other deformations)
• Objects in A are immediately recognized as the same shape,
• are different from those in B, • are the same as in C despite
perspective and elastic deformations,
• and can be depicted using different graphic elements as in D.
Human Vision - Perception
This image is in the public domain. Source: Wikipedia.
42
Reification
• The perceived object can contain more informationas given by the sensory input. (e.g. ball in C)
• Mostly for spatial information.
Human Vision - Perception
This image is in the public domain. Source: Wikipedia.
43 Multistable perception
This image is in the public domain. Source: Wikipedia.
Necker cube Rubin's Figure / Vase • Ambiguous perceptual experiences (2 figures share a common
border) lead to multistable perception. The experiences pop back and forth between two or more alternative interpretations.
Human Vision - Perception
44 What are the components?
Human Vision - Perception
Image by MIT OpenCourseWare.
45 Some of the combinations
Human Vision - Perception
Tasten Aufbau
Image by MIT OpenCourseWare.
Color 46
Image removed due to copyright restrictions. Original image can be viewed on Wikimedia.
• Wavelength - physics • Color - perception
Image removed due to copyright restrictions. Original image can be viewed on Wikimedia.
Human Vision - Perception
Color blindness 47
• Normal color vision is trichormat, 3 cone types are used. • Dichromacy, most common Red-Green color blindness
lacking or reduced long-wavelength or medium-wavelength cones (4-8% of the male population!) includes: Protanopia (rare), Deuteranopia (1% m), Protanomaly (1% m), Deuteranomaly (6% m)
• Monochromacy, complete inability to distinguish any colors cone monochromacy (only 1 cone type) rod monochromacy (only rods)
• Human Factors Color codes (Maps, Signals, etc)
Image removed due to copyright restrictions. Original image can be viewed on Wikimedia.
Human Vision - Perception
48
Protanopia (L-cone)
Trichormat (all cones)
Deutanopia (M-cone)
Tritanopia (S-cone)
Color blindness - samples
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Human Vision - Perception
49 Color vision - after images 1
• Fixate center dot on flag for 1 minute, then look at a white surface
Human Vision - Perception
50 Color vision - after images 2
Human Vision - Perception
51
Human Vision - Perception
384405 Kilometer
149,6 Million Kilometer
SUN
MOON 3476 Kilometer
1,392 Million Kilometer
0,5 Grad
0,5 Grad
Image by MIT OpenCourseWare.
Sinnesorgan
P = D/S W = P’*K D
Eye P P’ W
f f -1
S K
Image
Angel
52 Perceived size • How to estimate the distance of person?
Human Vision - Perception
Image by MIT OpenCourseWare.
53 Additional Slides
Human Vision - Perception
Image by MIT OpenCourseWare.
54
Major parts
• Occipital lobe: visual perception system
• E.g., visuospatial processing, discrimination of movement and colour discrimination
Human Vision - Perception
Adapted from Stangor, C. Introduction to Psychology. FlatworldKnowledge, 2010. Courtesy of Flatworld Knowledge.
Sensory Maps - Homunculus 55
Image of Homunculus removed due to copyright restrictions.
Human Vision - Perception
56
Human Vision - Perception
Image removed due to copyright restrictions. Original image can be viewed on Scientific American.
Figure 6.3 removed due to copyright restrictions. Source: Proctor, Robert W., and Trisha Van Zandt.Human Factors in Simple and Complex Systems. CRC Press, 2008. Preview image with Google Books.
Figure 6.8 removed due to copyright restrictions. Source: Proctor, Robert W., and Trisha Van Zandt.Human Factors in Simple and Complex Systems. CRC Press, 2008. Preview image with Google Books.
Figure 6.9 removed due to copyright restrictions. Source: Proctor, Robert W., and Trisha Van Zandt.Human Factors in Simple and Complex Systems. CRC Press, 2008. Preview image with Google Books.
Figure 6.12 removed due to copyright restrictions. Source: Proctor, Robert W., andTrisha Van Zandt. Human Factors in Simple and Complex Systems. CRC Press, 2008.
Figure 6.15 removed due to copyright restrictions. Source: Proctor, Robert W., andTrisha Van Zandt. Human Factors in Simple and Complex Systems. CRC Press, 2008.
Figure 6.16 removed due to copyright restrictions. Source: Proctor, Robert W., andTrisha Van Zandt. Human Factors in Simple and Complex Systems. CRC Press, 2008.
Figure 6.17 removed due to copyright restrictions. Source: Proctor, Robert W., andTrisha Van Zandt. Human Factors in Simple and Complex Systems. CRC Press, 2008.
Figure 6.17 removed due to copyright restrictions. Source: Proctor, Robert W., andTrisha Van Zandt. Human Factors in Simple and Complex Systems. CRC Press, 2008.
Figure 6.22 removed due to copyright restrictions. Source: Proctor, Robert W., and Trisha Van Zandt.Human Factors in Simple and Complex Systems. CRC Press, 2008. Preview image with Google Books.
Figure 6.23 removed due to copyright restrictions. Source: Proctor, Robert W., and Trisha Van Zandt.Human Factors in Simple and Complex Systems. CRC Press, 2008. Preview image with Google Books.
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16.400 / 16.453 Human Factors EngineeringFall 2011
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