Phot ogram Present ed by: Ohan Oda, Neesha Subr amaniam, Richard J - - PowerPoint PPT Presentation

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Dec 31, 2023 451 likes •667 views

Phot ogram Present ed by: Ohan Oda, Neesha Subr amaniam, Richard J Ng, Seikwon Kim Overview of t he present at ion Overview of language Tut orials and examples Archit ect ural design Summary and Lessons lear nt Overview I nt roduct ion

SLIDE 1

Phot ogram

Present ed by: Ohan Oda, Neesha Subr amaniam, Richard J Ng, Seikwon Kim

SLIDE 2

Overview of t he present at ion

Overview of language Tut orials and examples Archit ect ural design Summary and Lessons lear nt

SLIDE 3

Overview

What is Phot ogram? Who uses Phot ogram? Why use Phot ogram? I nt roduct ion

SLIDE 4

Overview

Mot ivat ion

Phot oshop has limit ed capabilit y Easy t o writ e lines of codes t han using complicat ed int erf ace

Phot oshop f or complicat ed image processing t asks

–Example: Phot omont age

Some

t he t asks are t ime consuming using Phot oshop

SLIDE 5

Overview

Feat ures

Easy-t o-use: J ava-like-synt ax Port able Powerf ul Expandable

SLIDE 6

Tut orial

How t o use Phot ogram

Compiler: PGCompiler How t o compile a .pg program

– C:\ j ava PGCompiler PGSampleProgram.pg – C:\ j avac PGSampleProgram.j ava

How t o run a .pg program

– C:\ j ava PGSampleProgr am

SLIDE 7

Examples

Collage

I mport ing f unct ions and globals f rom ot her .pg f iles.

SLIDE 8

Examples

I mage Processing

SLIDE 9

Examples

Used t he library f unct ions f or drawing lines and circle in t he out put image.

Opt ical Flow

SLIDE 10

Examples

Phot oMont age

No. of images in dat abase: 2500

Algorit hm: First mat ch t he average RGB of t he image pat ch wit h t he image in t he dat abase, t hen use cross-correlat ion t o choose t he best image.

SLIDE 11

Archit ect ural design

SLIDE 12

Archit ect ural design

Lexer

– Produces a t oken st ream

Parser

– Creat es AST

Walker

– Calls Semant ic Analyzer f or Semant ic Er ror Analysis Front -end

SLIDE 13

Archit ect ural design

PG Library

Library of Built -in Obj ect s and

Funct ions Semant ic Analyzer

–Builds Symbol Table, Scopes, et c.

Code Generat or

–Convert s t he PG code int o J ava Code Back-end

SLIDE 14

Phase I

– Grammar

Phase I I

– Grammar – Maj orit y was Walker and Semant ic Analyzer

Phase I I I

– Final Sample

Test ing

SLIDE 15

Test ing

Grammar Test ing

– Consist s of one long f ile – As development , t est grows larger – Test whet her it par ses well

SLIDE 16

Test ing

Phase I I (Semant ic)

– Consist s of small t est f iles – Assume knowing not hing – Most of possible pr ogramming

SLIDE 17

Test ing

Phase I I I (Final Checking)

– Check whet her an act ual program runs – Sample codes

SLIDE 18

Lessons Learned

Keeping in t ouch wit h group members is very essent ial f or successf ul complet ion

f t he proj ect .

Don’t ignore prof essor’s advice regarding CVS. Use J Builder f or developing your J ava code. Writ e small t est programs f or each st age.

SLIDE 19

Ref erences

Zhou, Tiant ian, Feng, Hanhua, Ra, Yong Man, Lee, Chang Woo. “Mx: A programming language f or scient if ic comput at ion.” ht t p:/ / www1.cs.columbia.edu/ ~sedwards/ classes/ 2 003/ w4115/ Mx.f inal.pdf , May 2003. Rit chie, Dennis M. C Ref erence Manual. Bell Telephone Laborat ories, 1975. ht t p:/ / www.phot omosaic.com/ rt / f ineart .ht m