Project 1 – Vertex Extrusion Objects

For this project, I started with the simple idea of vertex extrusion after seeing a tutorial on youtube. I used incoming video for both the object itself and the texture, and rendered using jit.gl.mesh. The jit.gl.handle object allows the viewer to visually spin and change the view based on mouse control. You can change the shape of the object being rendered as well. I then created multiple of these objects and set them with changing rotation, position, and scale using jit.mo functions like we’ve done in class. The default starts with 2 objects, but every time you clap the number of objects doubles until you reach 64. At this point the number of objects goes back to 2 because jit.multiple can’t handle a huge number of objects. You can also manually change how much space there is between the objects and the position of the camera (default is 2 for the y coordinate). I then used a motion detection patch to change the rate of scaling for each object as well as sliding between MIDI frequency notes based on your motion.

Here’s the patch:


----------begin_max5_patcher----------
5401.3oc6cs0iaiir94jeEBMxSyoiO7pH09vAcP1fECvLSVjImCVfcWzP1Vs
akHK4ijb5jYwN+1WdSxxtsTSYQY6zimfws0MqherphUUrXw+0KewUSy9ZTwU
d+Iu+t2Kdw+5ku3EpSIOwKLG+hqVF90YIgEpa6pYYKWFkVd005qUF80R04e6
a9428g238We+u9ie7Ge+uTc8z0KyVWlDUpdZf4rwyUOS1zO8Zhe0sVT9sjH0
4a7vwoUOKzbxUgkytONcws4QyJ0TNDSmPf99H+q8nb1Df3+7gW6AofIfq8Ph
O89mxm9e+xWJ+35A1V++d2G9369adu6u8wO7+9q8pwhbPiEAXSnhFGBKabiU
a7meuraz6O+tO9t21qNTL2EsQtpsAIieS70u88+xG+v6+oe5c+Yue8su4m9w
e4uXe+YGs06xRKKh+M0IgnIfdBA7.EDP.XcaGMJPvGd2e4G+0O9tO381e5M+
U66hYCuKlggMZePHaTZew24sHOJrLJ2q79vzq8dHNIwaZX5Bux70QU2eRbZz
rr0opGBYKLfbfpKFW09oLnTlNPc.FefnPZzCB55Qfv7vY+t08sPaEeqfooKl
kkjkqaNh9u.JgKz8Bl.A.bfu4an.rnWV1tdRVdehBKvZNBzAhESWWVlkt+lM
7wMaFo5V02W42VEoopqjbKWUS2V1U6NTwHn3S.RTAozHJ+zkbHEQId.O39QK
7dPKT2n00a9q0HGdzPNfByH9ChepEj6+w60BkVVylg8aE3hkZe9mmJYOCVYz
CQPCBqtKISPt6GTP6ATnWUSX4gKiDZquMJMbpFA.sAX0bYcfZ2kkuLT0D8Op
RqTbf5OfAgiIQeIJQgG+t8bXvCkCaYX9mixMNC7ZeAgKruQ7AVz9eMhH9.hD
eHQCgPU8OzdATyu05hHEkwGKbl3SUlOfLib3Vg6v4sMv4d3hQAsB7EwKRCSj
7qlucxGMgfANXL1dJmi3Oejy4PtD.YA9NPNuE1OA7FVJHIr0B+HZq7fperS4
.LbEFwElwfvTBDKURNHTaYTQQ3hnGAaH6GNFEztPauwpmHvDLBtNvDn.ksbn
FP1h7v4wQZOPZic85FezDtM2Gp5FQA.ntyACB3.h9ahSA284tS3Nj5Yuspku
gP1yMo9DZA8ryiLHJaKL3P9AD5Nz8eHFn1O7l2vp7rUY4kwB+EjJhlfC12ux
5xrlcRhepCfosHIddTdOXPqc0VI.Kt6UqK21mx1UkVG9gMM6CmM285PMt6ID
FpkKzrRDfiUITDUJZIhaU5kCvdzuC+bbh5AsQhbZM.DPGiAR9geWxT2igQ7Q
OksLmtARphR.T6oRvX.X+2dzd.VvyTe5pBgn1F4li43NjZ12lkD868v.kfyd
NKJGo3rFEQQYjFEzg81LS4W0kgwmvvqTAWBy3jv03XL2qfdDPOzXSYipF6p1
LhnZyMbe5hYb+QxLtVjtWVlcWO3UAWcFZUV0nFAJwZLYLzB9Z4b5YOPQ.moi
vFDzLJTX9QMZJ3fmOgSw.jF8piS3T9AIIB5gUvXzYazTpX7zBoiiQvJWU8Hd
D6QLjuiPL2asBE6qmaUkcJ7Qw3thYgIQBWLwRuLU+eOTxgG9fA9iFpAP5TNg
OFv1mhKmfaQwGYebYrtMI95dZZr6UmQ04lChomb+AhZqWNssPFsuwEFwvrej
L8PO4DACaT.IW0pGhSmm8POvNpkdaYclLYxuE87AhwZ8NvQPBJbZw736ty91
JrcOKE+d2JL.HO9q8RPBMZBRZSq3vwP8inYtXQTtWh3eSsNEHf9OoRnSrzDQ
ai.jolLeNdrTcWwnXMeWfq46FAE3TsfJve7rVPhc4KlhRVuLrGZn.m+nWEmm
VomIKNcM7IFXKOS7q5cS3rx3uD0V5KsW6TQtIauFAC6g5LeUm3qvgw30VVQd
e1CdKWO6dOkAqy8l9sdjdfANH8dAzGMYvCMIeagK42R7RKu2ZwKHG6lvsNZY
nEiFLAyE9lRDlSDbLSQRHK3rMGIY9idNRpxOXgYBPOeqcUAxXcF4pFdqzm.Y
QGMlKnu9OiShY3Q73dPeOLRzU0C9N53FSectmaZ67Kwz+RpYXUhVRbQlYbdl
XFZ62LI2FBLrYNtmw0lid1EV6sR5MvnnacVRTn87trQNs2pVhZpAhwWzn9GT
Mps4+QwpvYQdSiJeHJJ0SvPJ3bJr1EDlCV1UUouqOq1XZHdbVhcBRppI9ORs
uQBGdizW2hXLxj.pvmK4WGlOV8KRz9fuWCDck4viY1cuR68s05roHaB7yI2n
AtfGyvs0bZIa9bQ4Fzx.WhAlikK0k7BiRICw8hqBWspwoeQiGQhweRS2rqqO
Ubp9T35SkG8k3pmmVe1vbA0WJH804ZL5q7JkJxelLgcfoqiUjh9jhd6WV8CV
yjXReSX85ySN2EbvllqDdSxl8Y8hfATcxrUQowoqxiJD5KBq0DWc44Q2EtNo
718u.h2952ITj15CmJj4Tst2jGKW9IlaYQd77rTIQrEVKOc0qSLDtdc0Pa1X
T2QZ3p87vFEb6+hEhF45hog4xtBizOp5hkYYIaeo5mKI5tRykWEmltCJVlsp
8KlGu39Nd1oYhKtrqea0UJtccp9p2JjlKusH7Kai1kgIIFw6s+4+ZXZrPhLp
LV2Ef.0WTqA79hY4YIIa0d0W4K64JyEbwyhdHdd48lQi2bEwsGuphI5p5d44
wKhJJ29bkgKJ19LORKg3TqmZjRusLZ4pDQqX6aXqRFQSQxlJB257cZC69lB8
WAadw8pZ7Qti07IZ2p1VZ0sYcaaJ6PrMyK.cmfz9hpgHLJNNPTRQK8FFftEF
.1.C53sgAUet0KoxrnceMwoyi9ZCMrNAy1Zn18LSUYSVEkmDm5ciIUMlf7tI
6t6JhjqyJn2M2kG8+6glHt9pnn4RAsN3DQszEzcePKyRis8Hvt6Q3pDnRLjs
py.QFEVymFl+Tl.jwd0I4m8nGaLAOb2fWkgd5ImfehvtJVzt4Ko8FY8OgrkZ
jExzpJ8giBzpaSsiKf8iK0EkGm1Vw5J1hK0JtwRL4pHnkgfUDj756GvJxVmO
qpO2Hu4sMsILonLNs1tz+9FTxy19q9RD9VRDOlXyxmqcm.cxIL39IL3ImvP6
mv.iBggsjv7GQ1I4Hv8oaabHBKoAbq.g4jU9ddkz8i42pc051vRgt5oqK05A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.WI9TxUp0WB0iNOVbkGXTuv7qFiFKJf7cQXu31FnEFdDi4Dy1Df.Nl
ITCz17CAOlAATNZr8XAZrnBRenhQKLfmG7EHaohyh7yQQEvKgDsZbzEISVtN
oLdURjmvN4EIpEVUQcvR04OSzW+1u00hKZekUFx4ZUF1D0z.BehuuOStizfX
AiU83Q.vxiWmG4cirC2SdTQOpsQcFB5EI2Z90cQA5A5yBfAWW8MR82XOInBw
b+l1wLv8FqdtBugOi1umfLtdkBRqYOG3xErufI9Yzxk+TikvmQLlANFKaal5
B+rfnjYjTO1F7fCu7CLBiznpwobLqFwXiSsZndz5WA8dEx6UBRKIK6yx85I4
+rGEG2cmDCdHUvUseJyfWJkC+wrTNHsndcr8rljCh0T9VzaSFJ4gizJWGB7k
h7pcoq.HbBFiIXYEuAiFQ6LmIFfI29B+HjcDMsbvZQaZtNiN3536cqJVzF22
9LC+fclo0rBPkyCMqxa6I4B50V9sCMlGoyKMTfZGQRuO6goNu.CkUXewp.Ox
abVRGW1TfgBtLpzeLGUpMlUUF1XMuJXb4UAAnMkz0KECqKaYPO1Zf7vo1O3F
67u.PCA5B1tdneBabK83lomcY3JOnGxC2lKT6CLOVUS6gL9NjSZFrNe7QeeQ
niR19gssHv.zlaKBP7nssHHrz99vz4IQdhyl6ciTX9VcXxaqhguO..3l3iOF
gxUOwrDy5wXb1iDpl7gnh6M3XhLARkjhN.YBIuaJVlkUd+sE2KTUltPdFUiT
7E0+p9QkSTjJUJZh0OYOfy2z.BFMAUpNk0P5sbgC1R7t5JZy7l8UOUcMvgGM
fiHzCTUNFateR9LL23qpy+50vmOXiL7lbiHZdrRBaGfVgwUe.ujL8WRl9KIS
+gkZZ+P+SDZvQMivM6cOlIYb2cv4wO28TSCld.evDZuQqfi5BR.q2s0f.xoY
A91etI9wslEx0KGKzIhYp3g3eyKewz9uLLbKL8DY8HV6ZhOZDqsicfRoxIJN
QNxXegI+iJLYTMoWhe93iMLEm5g5MBQOp5ipTd2H6YOxHD7Lu7gZbY8zAP3d
CPni6PZlvjbhPn+qy7pvKTusOgLokvQeDMQCrKYr1JNENNK80f.wrN45dYCd
xq2Dvyg5MwXQDryfBug+4Pg2fdFTDHsMe6IiHMf5WcM8zV+QveeTLLcajTWm
tJb1mkIS+mVubk3uXuFkDbOZsIBO8l8msyKWWGcFLMSXyz0AYi3DInBt28gq
plUFMBn2C0jc.Ukmcn2Mx0tOFAjqQY624Y99YV8Las0Xxv1j36Y94QGV54o5
5N1S+Y.euq4R2wW9PVdxbCCopjFXlEqMyv0cEggpY5R3etLn8p++ln7vhHcx
Jnyf21lXw8rMh285tQkU4m58x4M6HnjAlB4kYKVzic7nCakMzmMR0wJs6gjM
6KFG79P6pvznDq2vvHDGruLC8gSXz5srarNyk1ZZopSDxpem8liMxzkoNag7
of.tDCkIYqOS+MDiP2FMkOSuSWncSfmffwGooCGoY5xZ.NPmRGTserbxEbtA
N6fcZbN2WFT.CNiP9SPzK.8twzB4BFZU93B0QM2rww5eAlaxOybgFZILSYzM
6A7XcN1A7m.gLel+2i.t5t1NjTZ7eW+LM8BO1Qa3VA.pEuKQnsBLwUKimuJS
XuPQU82RwDi70ATSWNt19Hrob9G7nCfH8JpEpEDjGU+d1du.4QLY11H4HKZi
zFkOfC+MYwKJvAuGVfM8Zrt5zfFGUoDyj+pVX.z1M5xZZyFzlQbAJfZt6wzV
751Aq1AFX51uOVUc0Ybp7OpiFJwYAsEzbSlYmMXlA8hQV7hgsxYfQJTfPLBn
H+5Cc.n7TrFbWvYXA3y6DCPz.sAP.S0zhVenqUO4Cr.UvtPsguMRlacOtpIZ
i5pN0VACvpwXXZ0Uxn+TcnqEfn1n.SV3Opp7NG9axhWjuC52IPaaQvA9lvA1
9lFZaBaEyrKFTGaS2D1E8SXhM5GcRaBMbCHfzww.BrMbqUcJC6MAb.J.fUsa
2hBVPZjtnLjRCoN73z5u6ZkkXqPPzXLnBJvFkMaW+vdT2GgLI.pWB6LY4Qpp
hM.T8iaN0.6MQArdPqC7UYi3CzEuIq7crSWG45jpjiBl3q7BWZCtxxqMmZnT
oUNjT2AMv2kUdSC5jkznCQxBJEcAf5idrDD9HPtvdPsPb.sCxEbDH29.tUlU
1B4BGexEFzCxkAIcPsngQs91HlrS3hbERY+6F5blJeqLNlBbg5ApUlG6ibx6
xNsyAN4cYkjIk6j2kUFsQch5bpsdlOX6CHV0pvNgyfXeTJaInYDcAa2TLDMa
O46bHEiaphUc3PobqbuDS5Vkpd.UFRWXuad3fIOqrzvIgxAYkg2HW3UJxN67
1QOpqFZvtWNoyQ8CzVySzwzqpKWcnyGNAYSrGQNwPejUgUaG.b24tgnCrodY
ew0IIz1GQPACNZ3HzvC3P.R6aMcKOsoCWrEYitWnSDkfVY..ryXSS8UVAZpx
ZzfMGMXpytICrkPDOPAGnkiJgaedKz9dX1BsgTS8sZ6CIlQoPAHcLQ7GNtAr
bZMPOU3sMIoW0Pn6bX8jQn2ZJLSFwfHcH2lwQ7cgwuP6lzxNCWP07yoABldF
L29Htd49TEEA7HLgM10RfLlUMEkYHFKpTG4ZO6rkbo1Stb8TB1B4BFH4Zkey
bbW5HM3ISG9Sl+liFLWL0Zpqind42j5Hti5rxhfti4PU.mBTpKMC1nNxEDGx
Vha3uJnUCyN3WkU7Ccp7myzA7jsI7yZem1bpgRjDqz.z8Dc3OAVUrWIvZRUO
D0lyLTJEaIbN3WDpGPxvdSPKaROwT4nhU9Vn9lyLTRDLzPBH3XUC3RAa60OX
3d8aE783.inyMtcJlQx2wNEwncJfQOt3E0dgKZ2hVjpfEoyRwcxGu5h7SZzC
29snjjphH2Ux5iX1h7r0q1FF1tzE4CXbUJBxkoUnNE6o9b+pDq+kaJWRUEWn
g7yUk4iylEkVt0ihQThZ8nfIUI8HloOWymLJIZ4tOJ2jRjfILhLkKUuU4CS2
ypCPWryr7oEsn8UFK2sfW0VA6bGzwxLyz7T0IAJBGffpGSBG.j5aBXFu2GC8
TkDz8m2oONePqp7lh6e2xs41azOOYoQsIOzz0kk00+qgvBMDFgdQwl0Hy3Pw
OEWeSBYSklZCgb.BRM+IWElKd7cy94qTaoQU8zM0rtGsMUUnhyZ8MxUU1Yfh
pVqRuWzLcQyzEMSNQyzCRKp7VlklUrRVcDsUUB.5CBTTG.B4ZrB.vXJ4owJF
GCIJteVf.bUeiSfHzNKl1lUkQg8k+bVZ3rrqdrVpaiSk1VF0mp68wTxGZniM
ezln9F9dNCP4b821iFhwUxOfwnv.C4JWpKT7dGw4v45Vh.PJfh.gVywA4btV
kImCMHOU3tC7IGBRvdBBzLYHjVjhiA.IK3SypBLq1aN.ff5NDQ2gO+YLqprG
OHfQp9VP2iOwEZlAPiZSerFsD8VnfiKSq3ERvJZlwoTl9aHDDcvbthm4e+x+
CFZg6i.
-----------end_max5_patcher-----------

Overall, I’m pretty pleased with the results and definitely am a lot better at jitter and matrixes than before!