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EECS101 Exam

创建日期：2024-04-26 09:51:21

所属分类：计算机computer science

标签： EECS101

EECS101 Exam

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EECS101 Exam f1

TOTAL:
l?) a) Does the set of points ,S lie on a straight lirre in 3-D? Explain.
Ynr' + ttr.e
'*f"' s
b) Will orthographic projection be a good approximation to perspective
of points
^9? Explain,
No, Tk* sef ,{ Pu'*l' 5 ir^'luJer a
,It{. i
-r-n* # {rt,:.tvetthale{.V1
O {,u Nn
c) Find the set of points in the image that u'iil result froin takirrg the perspective projection of
every point in the set S.
projection for the set
rahf
€
2
Question 1 (15 points) Consiier: the imaging systeni ciescribed in ciass having a pinhole at
the origin with the z-axis horizontal (positive z to tire left), tiie g-axis vertical (positive g up)
and the r-axis forward (positive r out). The irnage plane is located at z
-
2. Consider a set S
of points in 3-D defined by
{'= 2
r
-
3t
Y:4t
.L
forallt<-7.
Q* frhl s hm*3t iw
f,{ # e".fi' { # ir\i" /dg i,i Y 5r 0 fi,'' {r:
, f>/
Y'= J_I_= 2'$&* *6
I
Y=
lurS*
Ltv
*
:t/\ li /./.qf/ttL I IMi@
l*
I
fe-i i r # p,t€ p a,u -t (x', yJ . (A, q
d) Plot the set of points found iri pait c) iu iire 2-D x.r' irnage plane.
(x,y,*) fc;,'+ d€{raed b/lan€ 3-D d;nr *f ; o
"-i n *{",e
t
.)
tlie irnage that
"l,iil result from takiiig the oithographic projectione) Find the set of points in
of every point in the set ,S.
x'= x.=3{
ii(c, -i
.' t 7' ,"': "' : "vi
V/: y = t{ T*/
i r i^l y'i
f < " I
Vf, f o r *L-II jl(-l
f) Plot the set of points found in part e) in the 2-D x-v in:rgc plane.
(- 3j-q)
f .,' *tl( bt-di

4Question 2 (I2 points) Consider an irnagirrg svstem using a iens liith focal length 3cm having
an image plane 12cm behind the lens. Suppose the iens diametel is 1cm. The z axis is the
optical axis and the lens is located at z : A.
a) How far in front of the lens on the optical axis of the system must we place a point to get an
image without blur?
It*\* I
r1Tl
* *i*
o
a = ?*^
I
+ J-*
nIL
e;
I
: b.=
d
7 o/_
L= *L + *L*{ci
t2-7'- b-O,5
-l
Iz'dt
#l t1a aXf\J
/- l+l
-d-
| F'
0i
I rt
ele
^r>tv
f
tlz
..)
5
t_-
blur diameter of less than or equal to 0.5cm?
15) U What is the closest to the lens on tire opticai axis tirat r,ve can piace a point and still have a
z- tL
***-F
t_
2+
inraq e
7: tz (g 4*=L+).,
Z= 3.421 *n ., i L zr-- )-_--L+ I
,,*i, rr,o3*'" .u,,.-$'o"" Ff,o,r., and still hai ev
a blur diameter of less than or erirral to 0.5r'rrr'.'
iuaae)
Z= l2
lens
Z=o
\, Ecrui
Question 3 (f2 points) Consicler an image definecl by
E(t:,Y): 10u(5
- 't) + 2}tt(5 - Y)
over the continuous ranges 0 ( r < 10, U < y! l0 rvher-e u is lhe unit step function.
a) Draw the image E(r.a) arrd lalrcl all irrrpoltnirt puirits
Io
@ b) Comput" # as a function of r and y.
DE /xy) : -lofi|*r)4 \. r/,/
bx
S "l Compute # u" a function of r arrd g.
dtr{'s:,,,,) = *8# d(5 - y}:J* \r'"!/ /sy
( 7) d) Compute the squared gradient magnitude (SG\4) as a function of r and gr.\7
r "rll{'..':r
4p"iJ {'i -:,Ji
.t4jt LJ56 u {x,yi 5 to o$( r - r.t)' o
e) Suppose we apply a threshold T :
Show where edges wiil be detectecl in
Itl
I
2S0 id(0)1'z to the SGIVI resuit where d(.) is a delta function.
the irnage.
J,
iiune
ttt
e T* cted
t*
\! .* lqy'' ^lonj
tl
Question 4 (L2 points) Consicier atr altpiifii:ri i;i;iieclion siio rneasurernent C in electrons for a
cooled CCD camera described bv C: (,9+l,',r 1'.\i,),.1 .;r'litlc S is tire signal in electrons, 1V.1 is
a zero-mean amplifier noise soul'ce-' r,,ith a ,"'ar;'ianari: o1' circ elei:trou, ;\rp is the zero-mean phct,ou
noise source, and A is the constalit anrplifier gilili. r\iisiluie tire noise sorLrces are independent of
each other
A a) Suppose S : 1000 electroris. Firrd tire lneal a.rid r.arii,rirci: of the rneasrirement C.
M€ an{ r) = 1'v\(,,4" (".i A + I!^d *" furA j =* 5A; l': *,;,4
-"7
vtr{r) = v^, (S A + NaA * ,\Jf,A,} = A'' !: A'5
n2./ , s ''i:/\{,lt>)
r , nZ
_ ljutA
_*L t0A: {
b) Define the signal-to-noise
Suppose S: 1000 electrons.
5\iff ' l,:r*A
lat,ic, as tiic rnlrlii of il rli-,,irleri bv tirt:
lVlriit is li;e srgnal-io'lcist iatii; lbl C'l
I r, r,i
-\ I /
-jkgY- :Y 5 !. 6
,4'-*'.#l,,^..' i
'j 1 '''t;""' t
standard deviation of (.'
,f-'r
ilfl .) Will the signal-to-noise ratio'be 1:Lrger fcr riaik i'egir-r;rs cr }.-r'ighi rrrgi.)ir-q irr arr image? Explail
5NR'5fr
€- A\€tArJJ+/ n , ril*\J*',t. I
4I-
.\J I \ +",, ianqf )r.-t V J lut l
5ir,ec 5hJ i? incrt'**{r"*ef wi+l' 5} *'l.u
;1;j Le lavjer 4r' blr;,.hT vr:3ictv^5".
d) Suppose ,S : 1000 electroirs a,nti wi.' t.1kc
different times. Let C' : 0.5(Cr -y Ct). F'rnLi
source is independent of itself when mr::rsuLeil
M(*arr, 4_t" rir-, r {r)) = /v,ta. {* ,# i2
uavi*qrrrrflo fti:r * Cz )) =
"pv-
inn{{'(C ,{A(Nur + Nr, + Npr + Nea ))
t
ttj
* i ; ,,*l i '- 't'* ' yti; r;,I' t' ,r'{ ,r.:
ttvir ni easi tii.rttii:nt s
tiit. rrieiln :r,rid i.aliar
ar ciiffcleni tiniirs.
sA + A {No,
;* #, asAz (t *
: 5i* r-J- f A'
: a. L5 A'(ro' + 6; + 6;
of C denoted C1
ir:e of O'. Assrrme
and C2 at
each nci:e
*il,r, )* A(ruu ,, tlil))
= SA= looiln '
t,eo s A
. *-d. I
-I /i tI vf) II./
iIt(r\ttf J r JJ
Question 5 (I2 points) Lel g(.i'.g) Le tlre I x iglay-lelci irnage
lnlzalzellsl
I ____ I ____ I ____ I ____ illttt
l16lzslzalrsl
I ____ I ____ I ____ I ____ itttriItzllslzglrsi
I ____ r ____ I ____ I ____ |ttrttlrslr0lralr0l
I ____ I ____ I ____ I __-__ I
ffi ,, Find the gray-level histogranr
iixi tI itoiO +o it'i t{
o
$ O, Find a threshold T thatwill separate tlie briglrt objerct from the dark background.
cble*t {ur 3 {xi I,i > T u,.r lnere T' f T f- gqq*y suvi*rt a 3elr 1',ll c,i ed,t
l'"e) c) Use 7 to find abinary image b(r,g) where l represents ob.ject pixels.\_:#
3l o
z{o
d) Find the center of area (z,A) for thc cbjer-:t. Assu.rnc th:;t tire center of the lower left pixei is
at (r,g) : (0,0). Indicate the location (:r,g) ln iire hinair, iurage.
Y= il* 2 +z+3+ 3)15= iifr * ?'?"
3
Y
llctot i)
sl*
# c o
**-"-a**-*-"*'L 7 ? X
,jrr
!l.f,\0 l_J{_
o
5
"l\t?g1*--:'t *. It({,;l )*{{.d,4"
8and 0 denote back-Question 6 (8 points) For the binarf images below, let 1 rienote object
ground.
a) Circle the 4-connected object regic-ins in the binarSi image beiorv.
O Ol How many 4-connected object regions aie theie iu this image? B
(9 .l For the binary image below, circle the S-connecteci objecl regions.
O Ol How many S-connected objeci regions are there in this imagel 3
0
0
U
0
0
U
0
0
0
0
Ar:-1*7s o o o
-nrr f 0-6 o o ,D
fD o (*l- r Q o'0" 0 d'-1 1 1*l
,
iJo o o -ol
-1.-.-J,
.r/o o /rl o o o
o f- r"r\o qqo \,1_lr0 ou
IQuestion 7 (9 points) Consider the potcntiir,l iveli or cach CCD array of a three-cirip color
camera that corresponds to a single pixel location (:r. g). Assurne tliat ihe quantum effficiencir is
q()) : 0.9, the incoming photon fiux has iigirt at onl1,'i1vg rvavelengths n'ith one million photors
per second at wavelength 445nm arid threc irriilion piiotorrs per scconcl at wavelength 532nnr.
Assume that one-third of the incident light is sent in tire rlireclir,-n of each CCD array and th:r,t
the integration time is one milliseconcl. Assurne tirele is no noi-"e. The red, green) and blue fl1tcr
spectral transmission functions al-e given irv
/n()) : u() - 6oonn) - u(A - 700nrn)
/c(f) : u,() - 500niri) - u(.\ - 600nrn)
f n(^)
- "(l - .100rmr) - u().- 500rrrn)
where u is the unit step function.
a) PIot /a()), /c()), and /6(.\) betrveen 400nrrr aird 700nrrr.
(^l I r*--t
_l _ r_*
It64(rt
$o* trnn 7psxo, fo,ru,- {6u*^^'
"\
,h
I r-**]ltI _ _ L_---
.. 4ou^t faan^
n
nd the number of electrons S;.
L(qAiQ (;')t'{'iid}3 )u
tts {,\)
\^ -:JK
6 0,,, Sc, Ss collecied ai pixel location
=
() V1o f i',:i'a"i
I
the camera.
tu?'
€E {,eJ
(", g,) bv
,
Q"n:''"r*'d
I
iCI* ) *-(o,4 )(s * 1o* * derl'r,ea*;
S B =
*f nd,i) &#i$fA)J I* -# (o,a)Qon) = 3oo electr"wspj
S
",
What color will the light at tliis pixel appcar?
Jveen
#y h{"n -3rQuestion
defined by
8 (10 points) Considr:r a 100 x 100 rii;git:ri
10
irrage G(.r,A) with gray levei vaiues
6kry1
qq
qt
.-x "rYJ
y 0.1.....99
of r anrl gr for each pixel in G(r,:tt').
+
E
a1
A6;bel
xelsp
So e
ix
+at
o
-L
4
I
o
s
,1
c
'l
fr,4)'
rf the
ndary
l? ro,
a)
;
l0Itt
G(,
ito
our
9
O b) Find the output of the Sobr'l ff\;/ You may ignore boundary pixels.
fi 2 rllo c o I
l-t -z "iJI
pu
,b
the out
'ignore
Lnd 1
may
e,
L{
"/
,/",
.
/r""'Z
i00 r:0,1,...,99
operrr{or rS a litilt i iorr
Ft a rl
\-z o L {Ir c rJ
)tr S-b-{ r #
&x
o tz
opeiator as a furicti.rn of':r and y for eacir pixel in G(r.y).
Jr Srbej = *8
t7\
V)
** s\t#,{f {U,y)
rly
c) Show the location of the largest conrrecteci region in G(.r. g).for n'irich the pixel gray levels in
the region have a variance of zero. Assurne S-connectecl ireighbors. F{ow rnany pirels ale in i}rls
region? What is the mean of the pixel .",aiucs in this region?
€ua{y (x,>l
Lavyr* Y*1Jro- i5" cir*feef J;nj#{"sf "
lao yixefs
ftl€au" 5 10fi
o
tv
\t-l
Y
G)
a) Fi
You
IZ
1
L}
.{tJ
,/t
18 11rc0
4fi tca tot
lou rol IS2
1d\\,Jl
l1
Question 9 (5 points) Why is silicon a goocl r4ateriai to usc for buildiirg cameras?
Tln* ene{qy t{^^t l,oiri, b,,, Js "for,rfllurr 'in s,lrlu is 'f in^ ilarj/ J
Jb'lh* u*uoJy in u,r;b{r, i,**f f;r-'rt*r^S" Tlreor{iu*
'' i -l "'i i r**i'*: fru* ef*ri"l.rr*f rr.rhic.l, co,.rn\ h r ; Cr e r'r 1 fr l,r',-i.'Lr i *.'r .i lr ,'' i
b" ,,{{"rtrA t, /n(Q{ur€ *,ku $r^ar^t of i^rs/vt*J I yhf -
Question 10 (5 points) Describe an applicaiion fcr n'hicir reglon growing would be more
appropriate than region splitting.
Kr3,r^ 3vavtina i r /va',t "(trro{n i'*{e" #^o^ Y€f in^ sP i
4
"na
if wq *^^t +, Sucress€rt| s€jrnfuf s/$4ffiii trylons.

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COMP532 MAS275 COMP5318 COMP4002 FIT5086 MAST20004 FIT3152 FIT5129 CIS2380 CS521 COMP 1005 EECMS CITS5501 ECE 462 ECON 6002 ENG 4051 CSC 648 CMT654 MECHENG 713 PHYS1002 AMME 2000 FP0060 DDES3200 MECHENG 743 BINF90002 FIT2081 ISYS90081 ELECTENG 722 BUS 360 ECOS3010 BUS2810 ETF2100 ENG2048 STAT5002 COMP2017 CEME 2003 MATS3004 COMP9319 PHYS1001 COMP5349 AMME2261 COMP-381 FIT3173 COSC2757 ENG4025 QBUS2820 COMP9414 MATH2021 EOSC118 MFIN6690 PMATH 321 CSE-141L MATH575A COMPSCI5002 COMP1511 management comp2123 FINS3616 COMP 3331 COMS30034 DTSC 71 AcF 702 AcF702 DTSC71 MAT021 ELE8083 ACFI213 EG-127J 127J FIT5163 FIT2001 ELE00113M CMT310 CS 245 ENGL 1101 MTH6115 EE497 CS 325 Math 124A MTH5130 MBA502 MGT 5380 ARCH 1261 F033800 20LLP109 ELE4009 FINANCIAL COMP3331 Computer ECE4179 20T3 COMP9311 COMP9311 UNSW MFIN6210 ACCT 5930 EE590 ENG2029 ECO100 SIT315 ACCT3610 COMP3600 STK2100 FIT2004 COMP30020 ACTL1101 Stat 101B BANA 200 COSC2473 ENGG1400 AI COMP90043 MMF 1914H PHYS 127 CS584 CIVL2010 ECMT2150 CS 333 CP1406 KIT308 Economics 701 ECON3740 ECE 5759 BFC3340 FINC2012 COMP4500 MATH3871 FIT3080 18-819C Economic ECO202Y5Y PHY100 FINC-780 Econ 100B EC602 IE582 EE450 COMP9517 WRDS 150B ECON 570 LECTURE 2 ECA5101 ECE 4420 ADAD9311 FIT3031 CS 544 MF 703 CS 6140 KIT501 ENGSCI 344 CSC171 IE 332 FINM8007 21S2 COSC 1114 FE545 E471 SIT102 CSC108 MAT301 IAE 101 COP3503 STAT2004 EC 303 CS1026 STAT1203 MATH3171 ISOM5160 IFN657 FIT2014 ACCT2102 DSCI550 STATS 330 ELEC421 COMP3670 QBUS6840 MEES:698B MAST30027 MIET1077 Economics IFT 6758 FIT5122 BUSN5101 CptS 111 HRMT5502 Math2018 PP 312 INFS3200 CZ3005 CSSE1001 SENG 2011 MKTG 553Q BUFN 640 COMP507 ETF5952 DATA 311 ECE4043 BANK3011 finance M3H623544 HW1 INFS 7410 AI6103 STAT3888 INFS3208 ACCT7103 ECOS3013 PSYCH 20B F79MA STAT3006 ENGG952 2X MGSC 7000 ECE4132 MSF 526 MATH 3033 CDS 511 EEEE4120 EEET2465 ECA5103 MATH2070 ELEC3104 BU51019 EEE8147 ENGR20003 COSC 1107 ETF3200 FNCE 435 MSFI 435 ISyE6420 GENG4405 HW ETC5523 IE 7315 MOEC0021 STA 106 ENGG 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