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Single view geometry

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Title: Single view geometry


1
??????1???_at_?????
  • ???
  • ?? ?
  • ??????????? -??????-?
  • ????

2
Single view geometry
Camera model Single view geom.
3
??????(Camera model)
  • ???????3???????????
  • ????????????
  • ? ?????????????????

?
4
??( Projections )
  • ??m????n?????? (mgtn)
  • CV 3D to 2D

????
???
???
???????
????
5
???????
  • ?3????????????????????????????????
  • ????????????????????????????
  • ???????????????????????????????????

??????????????????,??????????????
6
?????????(pinhole camera)
  • ????????????????????????????????????????????????
  • ??????????????????????????????????????????????????
    ???????????????????????????
  • ??????????????????????

7
?????????
f
???????????????(image plane) ????????????(pinhol
e)?????(optical center) ????????????????????f(fo
cal length)
8
?????????
  • ??
  • ?????????????
  • ???????????????????????
  • ??????????????????????

9
?????????
????????(Virtual image plane)???????(????)????????
????????????????? ???????????????????????????????
? ??????????????????? ???????????????????????
??????????? ??????????
10
Pinhole camera image
Amsterdam what do you see in this picture?
  • straight line
  • size
  • parallelism/angle
  • shape
  • shape of planes
  • depth
  • Photo by Robert Kosara, robert_at_kosara.net
  • http//www.kosara.net/gallery/pinholeamsterdam/pic
    01.html

11
Pinhole camera image
Amsterdam
  • straight line
  • size
  • parallelism/angle
  • shape
  • shape of planes
  • depth
  • Photo by Robert Kosara, robert_at_kosara.net
  • http//www.kosara.net/gallery/pinholeamsterdam/pic
    01.html

12
Pinhole camera image
Amsterdam
  • straight line
  • size
  • parallelism/angle
  • shape
  • shape of planes
  • depth
  • Photo by Robert Kosara, robert_at_kosara.net
  • http//www.kosara.net/gallery/pinholeamsterdam/pic
    01.html

13
Pinhole camera image
Amsterdam
  • straight line
  • size
  • parallelism/angle
  • shape
  • shape of planes
  • depth
  • Photo by Robert Kosara, robert_at_kosara.net
  • http//www.kosara.net/gallery/pinholeamsterdam/pic
    01.html

14
Pinhole camera image
Amsterdam
  • straight line
  • size
  • parallelism/angle
  • shape
  • shape of planes
  • depth
  • Photo by Robert Kosara, robert_at_kosara.net
  • http//www.kosara.net/gallery/pinholeamsterdam/pic
    01.html

15
Pinhole camera image
Amsterdam
  • straight line
  • size
  • parallelism/angle
  • shape
  • shape of planes
  • parallel to image
  • depth
  • Photo by Robert Kosara, robert_at_kosara.net
  • http//www.kosara.net/gallery/pinholeamsterdam/pic
    01.html

16
Pinhole camera image
Amsterdam what do you see?
  • straight line
  • size
  • parallelism/angle
  • shape
  • shape of planes
  • parallel to image
  • Depth ?
  • stereo
  • motion
  • size
  • structure
  • - We see spatial shapes rather than individual
    pixels
  • - Knowledge top-down vision belongs to human
  • - Stereo Motion most successful in 3D CV
    application
  • - You can see it but you don't know how

17
???? (Perspective Projection)
????????
O
18
???? (Perspective Projection)
  • ???
  • ???
  • ???
  • ?????????
  • ????????
  • ???????????

???
19
???????
(x,y,z)??(x,y,z)??? (????????)
z
z
x
O
x
?? ?????????? Z???????
(f Z)
??????Z?????????
??????????????????f1???
20
?????Homogenous Coordinates
21
?????????Camera Parameters
  • ?????Image coordinates (ximage, yimage)
  • ????Image center (ox, oy)
  • ??????Camera coordinates (xcamera, ycamera)
  • ???????Real world coordinates (X, Y, Z)
  • ????Focal length f
  • ????????Effective size of pixel in millimeter
  • (kx, ky)

22
?????????
23
?????????
24
???????????Intrinsic Camera Parameters
ox
(0,0)
xim
  • fx
  • fy
  • ox
  • oy
  • ????????????????????????????????

oy
Pixel (xim,yim)
yim
Size (Sx,Sy)
25
???????????II
(xd, yd)
(x, y)
  • ???????Lens Distortions

k1 , k2
26
???????????II
(xd, yd)
(x, y)
k1 , k2
  • ???????Lens Distortions
  • Modeled as simple radial distortions
  • r2 xd2yd2
  • (xd , yd) distorted points
  • k1 , k2 distortion coefficients
  • A model with k2 0 is still accurate for a CCD
    sensor of 500x500 with 5 pixels distortion on
    the outer boundary

27
???????????Extrinsic Camera Parameters
  • ???????????????????????????????????
  • ????Translation (3x1????)
  • ??Rotation (3x3??)

R
t
O
28
????(Translation)
  • (tx, ty, tz) Translation vector

29
????(Translation)
  • Inverse translation

30
??(Rotation)
  • Z-???

31
??(Rotation)
  • X-???
  • Y-???
  • Z-???
  • ????

32
??(Rotation)
  • Inverse rotation
  • ?????????!!

33
?????Euler?
  • ???? 3x3
  • ????Orthogonal
  • 9 elements gt 33 constraints (orthogonal) gt 22
    constraints (unit vectors) gt 3 DOF ??? (degrees
    of freedom)
  • ?, ?, ? ?X, Y, Z???????
  • ??
  • ???????????????
  • ????????

34
?????Euler?
  • If angle ? is small, then cos? 1 and sin? ?
    ?? ? ? ? ?

35
?????????
  • ????????????????
  • tx, ty, tz ? r1,1r3,3 ???????????

36
?????????
  • ????????????????

37
???????????
38
???????
(x,y,z)??(x,y,z)??? (????????)
z
z
x
O
x
?? ?????????? Z???????
(f Z)
??????Z?????????
??????????????????f1???
39
??? (orthographic projection)
  • ??????????????????????
  • ?Z??????????, X??Y????????????????
  • ?????Z??????????
  • ????????????
  • ????????????????
  • ????????????,????
  • ????CV??????????
  • ??????

40
??????
(x, y, z)
O
Projection from (x,y,z) to (x,y,z)
or
41
??????
  • 1.????????(???????)???????????????????????????
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