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15-4
97/1
5-89
1 C
ompu
ter
Ani
mat
ion
Jess
ica
Hod
gins
Ass
ocia
te P
rofe
ssor
Rob
otic
s In
stitu
te a
nd
Com
pute
r S
cien
ce D
epar
tmen
t
Intr
oduc
tion
•A
dmin
istr
ivia
•W
ho a
m I?
•W
hat i
s C
ompu
ter
Gra
phic
s
Adm
inis
trat
ion
•W
eb (
cour
se n
otes
) ht
tp://
ww
w.c
s.cm
u.ed
u/af
s/cs
.cmu.ed
u/~j
kh/a
nim
_cla
ss.h
tml
•T
A’s
: K
iran
Bha
t and
Alla
Saf
onov
a
•T
extb
ook
(new
):
Com
pute
r A
nim
atio
n, R
ick
Par
ent
Adm
inis
trat
ion
•P
rere
quis
ites
15-4
62 C
ompu
ter
Gra
phic
s or
equ
ival
ent
•M
idte
rm 2
5%
•T
hree
pro
gram
min
g as
sign
men
ts (
40%
)
•P
roje
ct in
last
six
wee
ks (
25%
)
•C
lass
Par
ticip
atio
n (1
0%)
Adm
inis
trat
ion
•La
te P
olic
y: 5
late
day
s th
at y
ou c
an u
se fo
r an
y as
sign
men
t. M
ore
than
five
req
uire
s a
real
ly g
ood
excu
se.
•If
you
didn
’t ge
t int
o th
is c
lass
, it w
ill b
e of
fere
d ne
xt s
prin
g (a
nd ta
lk to
me
if yo
u ne
ed to
get
in)
Adm
inis
trat
ion
•Li
nux
boxe
s in
WeH
533
6. S
tart
er c
ode
in C
and
op
enG
L
•S
uppl
emen
tal r
eadi
ng o
n th
e w
eb p
age:
Hod
gins
, J. K
., O
'Brie
n, J
. F.,B
oden
heim
er, R
. E..
Com
pute
r A
nim
atio
n. In
the
Wile
y E
ncyc
lope
dia
of E
lect
rical
and
Ele
ctro
nics
Eng
inee
ring,
Joh
n G
. W
ebst
er, e
d., v
. 3, p
p.68
6-690
, 199
9
Intr
oduc
tion
•A
dmin
istr
ivia
•W
ho a
m I?
•W
hat i
s C
ompu
ter
Ani
mat
ion
Any
que
stio
ns?
Who
am
I?
PhD
CS
, CM
U
Legg
ed L
ocom
otio
n F
or
Rou
gh T
erra
in L
ocom
otio
n
On
the
facu
lty a
t Geo
rgia
T
ech
from
199
2-200
0
Join
ed C
MU
in fa
ll 20
00
Legg
ed L
ocom
otio
n
Fro
mph
ysic
al r
obot
s to
ani
mat
ions
And
on
to h
uman
s
Wha
t is
this
cou
rse
abou
t?
Com
pute
r A
nim
atio
n:
Mak
ing
thin
gs m
ove
Ove
rvie
w
Tra
ditio
nal a
nim
atio
n
Key
fram
ing
Mot
ion
capt
ure
Phy
sica
lly b
ased
(dy
nam
ics)
Oth
er re
sear
chy to
pics
Sto
ry B
oard
ing
(fro
m “
A
Bug
’s L
ife”)
Prin
cipl
es o
f Tra
ditio
nal A
nim
atio
n
Com
pute
r-ass
iste
d A
nim
atio
n
Mak
ing
of T
oy S
tory
Sce
ne fr
om T
oy S
tory
II
Mot
ion
Cap
ture
Rec
ord
from
live
act
ion
–tra
ck m
otio
n of
ref
eren
ce p
oint
s •
body
or
face
or
hand
s
–con
vert
to jo
int a
ngle
s
–the
se a
ngle
s to
driv
e an
ar
ticul
ated
3-D
mod
el
–The
se m
otio
n pa
ths
can
be
adap
ted
and
gene
raliz
ed
Mot
ion
Cap
ture
Mic
roso
ft’s
Mot
ion
Cap
ture
Gro
up
Mot
ion
Cap
ture
Tita
nic,
Hou
se o
f Mov
es
Mot
ion
Cap
ture
Mot
ion
Ana
lysi
s
Mot
ion
Cap
ture
Tita
nic,
Hou
se o
f Mov
es
Dyn
amic
s•
Gen
erat
e m
otio
n by
spe
cify
ing
mas
s an
d fo
rce,
app
ly
phys
ical
law
s (e
.g.,
New
ton’
s la
ws)
•S
imul
ates
phy
sica
l phe
nom
ena
–gr
avity
–m
omen
tum
(in
ertia
)–
colli
sion
s–
fric
tion
–flu
id fl
ow (
drag
, tur
bule
nce,
...)
–so
lidity
, fle
xibi
lity,
ela
stic
ity–
frac
ture
Phy
sics
for
Nat
ural
Phe
nom
ena
Ant
zw
ater
sim
ulat
ion,
rel
ated
tech
niqu
es
wer
e us
ed in
Shr
ek
Phy
sics
for
Nat
ural
Phe
nom
ena
O'B
rien,
J. F
., H
odgi
ns, J
. K.,
(199
9) G
raph
ical
Mod
elin
g an
dAni
mat
iono
f Brit
tle F
ract
ure.
The
pro
ceed
ings
of
AC
M S
IGG
RA
PH
99,
Phy
sics
for
Cha
ract
ers
Rul
e-ba
sed
Beh
avio
rs