computer vision v.3
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8/7/2019 Computer Vision v.3
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Bedy Purnama, S.Si., M.T.
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5W + 1Hy Wh aty Wh y y Wh erey Wh eny Who
y How
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Cl ip_Terminat o r
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Tinjauan Computer Visiony C o mputer Imagingy Akusisi & pemr o sesan visua l Inf o rmasi co mp
y C o mputer Visi o ny
Aplikasi image digunakan
comp
y Image Pr o cessingy Aplikasi imaga digunakan manusiay I. Resto rati o n, I. En h ancement, I. C o mpressi o n
y Image Ana l ysisy Melibatkan pemeriksaan data citra untuk
memfasi litasi peme cah an masa lah pen citraany I. Segmentati o n, I. transf o rms,
feature extra ctio n & pattern classificatio n
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D efinisiy Goal : membuat keputusan yang bermanfaat tentang o bjek fisik
nyata dan lingkungannya berdasarkan apa yg di tangkap citray C omputer Vision men co ba meniru H uman Visiony C omputer Vision = pro ses o to matis yang mengintegrasikan
sejum lah besar pr o ses untuk persepsi visua l, seperti :y Akuisisi citray Pengo lah an citray Klasifikasiy Pengena lan ( R ecognition )y Membuat Keputusan.
y Vision = Geometry + Measurement + Interpretation
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P roses dalan Computer Visiony Pro ses-pr o ses da lam computer vision dapat dibagi
menjadi 3 aktivitas :
1. Memper o leh atau meng akuisisi citra digita l2 . Melakukan teknik k o mputasi untuk mempr o ses atau
mem o difikasi data citra ( o perasi- o perasi peng o lah an citra )3. Mengana lisis dan meng interpretasi citra dan menggunakan
h asil pemr o sesan untuk tujuan tertentu, misa lnyameng o ntr o l pera latan, memantau pr o ses manufaktur,memandu r o bo t, d ll .
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P roses dalan Computer Vision
(cont d)
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RISET MILITER INDUSTRI
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RISE TComputer Vision For The Blind ( Indoor Navigation Through Traje ctory Tracking )
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INDUS TRIy C ust o m_So ft w are_t o _Inspe ct_Measure_ w ith _
Video
y Identify_ Cl assify_and_Ana l yze_Images_in_Vide o _and_P ho to s
y So ft w are_Deve lo pment_Servi ces_f o r_Digita l_Image_Pr o cessing
y So ft w are_Pr o gramming_Servi ces_f o r_Image_Reco gniti o n_Feature
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M ILITER
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G rafika C itra
Pengo lah an C itra Lanjut
C o mputer Visi o n
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Kajian dari Computer Visiony Image ana l ysis met ho ds
y edge dete ctio n, feature dete ctio n, image segmentati o n,
Image transf o
rmatio
nsy Mo tio n and vide o ana l ysisy Metho ds f o r reco nstru cting t h ree-dimensi o na l scene
inf o rmati o ny C o mbining rea l imagery w ith co mputer generated
imagery y Virtua l Reality, Augmented Rea lity
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Image analysis metho ds (cont d)y image segmentati o n
y Image transf o rmati o ns
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M otion an d video analysisy G esture Dete ctio n
y C alibrati o ny Tracking
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M etho ds for re constru cting 3D
scene information
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Combining real imagery with
computer generate d imageryy Virtua l Reality
3D sensed data can be
studied f o r surgi cal pat h s to be f o ll ow ed by a surge o n o r aro bo t.
In th e future, rea l-timesensing and registrati o n canbe used f o r feedba ck in t h epro cess.
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Combining real imagery with computer generate d imagery (cont d)
y Augmented rea lity : vie w s o f rea l o bjects + augmentati o n
Cl ip 01, 02 , 03
perso n wo rks at rea l deskremo te co ll abo rato r
represented by pi cture o r video o r talking h ead
o bjects o f discussio n; e.g. a
patient s brain image, migh
talso be fused int o visual fieldHOW IS TH IS A C H IEVED?
Fro m University o f W ash ingt o n H IT Lab
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y KK IC My Sub KK Multimediay Bedy Purnama & Tj o ko rda Agung B W
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