Graphic Design Book

Font: OptimaRed Color: R160, G0, B20

W.R.A.P.S. Department Branding, MIT

The department of Writing, Rhetoric, and Professional Communication at the Massachusetts Institute of Technology reached out to me to help them brand their new department. I worked with the director and assistant director of the department remotely to design a logo that references the academic pride and rigor of MIT with the clarity and concision of the department’s ideals. The time line for this project was just under one month, spanning from initial concepts to the final logo design shown below. This logo will be used on banners, shirts, letterheads, and digital material for the department.

Software used: Illustrator

KAIRION: The Logo

Kairion is a new online platform for researches to work together and keep their work and resources organized and easily accessible. This product was conceived by a professor who has taught writing and conducted research paper studies at such universities as Carnegie Mellon and the Massachusetts Institute of Technology.

Software used: Illustrator

Top Font: PerpetuaBottom Font: Sinhala MN

Lito Karatsoli-Chanikian June 16,2013

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Lito Karatsoli-Chanikian June 30,2013

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KAIRION: The Process

In order to conceive of the branding for the product I worked closely with the head of marketing, Jeff Marden. We began work on this mid-June with a deadline for a final branding proposal by the start of August.

The series of products that were handed over during the process are shown below in chronological order. Starting with an overall brainstorm of what kind of imagery might represent the Kairion product we quickly moved into refining color and character. By providing a range of options and communicating well with Mr. Marden we were able to come to a final branding proposal for the CEO, CFO and CTO by mid-July, putting us 2 weeks ahead of schedule. Software used: Illustrator and Photoshop


Lito Karatsoli-Chanikian July 17,2013

Dark Grey around Logo. Deep Neutral Green on Kairion. Brown on source.cite.synthesize

Lighter Grey around Logo. Deep Warm Green on Kairion. Warm Red-Brown on source.cite.synthesize

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Even Lighter Grey around Logo. Cool Blue- Green on Kairion. Cool Green-Brown on source.cite.synthesize


Lito Karatsoli-Chanikian July 04,2013

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Below is pictures the series of iterations completed to come to the final branding

Zodiac Aerospace Sports Teams Branding

The Zodiac Flier, the Zodiac Aerospace roller hockey team requested some help creating a logo brand for themselves as they had a big game coming up and wanted to make some jerseys with an intimidating yet professional brand. The big challenge of this project was the tight deadline- only a few hours. The whole process, from start to finish, was completed in 2.5 hours which included providing the team captain with a few color and font variations to pick from. I was able to quickly design this logo by drawing inspiration from the company’s branding, and sports team logos such as the Miami Dolphins. It has been very well received, and will not be used not only for the company roller hockey team, but for the softball and volleyball teams as well.

Software Used: Illustrator

PANO BOTPanoramic Stitching with the iRobot Create

WORK-FLOW

PanoBot: Branding and Poster

Masters of Electrical and Computer Engineering student at Carnegie Mellon University, Kory Stiger, requested my help in branding his master’s project and creating a poster. The project was a robot with a camera programmed to automatically be able to reach a location and take a panoramic image. By discussing the purpose and functionality of the technology with Kory, I was able to better brand the project and arrange the layout of the poster presentation.

Software Used: Illustrator and InDesign

COMPOSITING

REGISTRATION

Kory Stiger

PANO BOTPanoramic Stitching with the iRobot Create

ESTABLISH USB SERIAL CONNECTION WITH

IROBOT

Pan-Oramic: “All Seeing,” The combination of a hi-resolution camera, the iRobot Create, and customized software can create a complete 360 degree view of its surroundings. 210 Degree Panorama.

WORK-FLOW

Summary: The idea behind this project was to combine the iRobot Create with a web-cam in order to create panorama images. This was done using open source C++ libraries from OpenCV and Boost.

Challenges: Serial communications - the tricky timing paradigms of serial communication made for a difficult task when it came to commanding the robot. The Open Interface commands used by the Create Robot required substantial testing to determine the proper timing patterns, and a failure to abide by these rules often resulted in a complete freeze of the testing computer.Environment setup - due to the "frankencode" nature of this project, a considerable number of errors arose when bringing it all together. For starters, the iRobot Create was designed to be used on a Windows platform, thus the USB serial driver needed on a Mac OSX was extremely difficult to find. In addition, there was a host of library linkage errors and rare environment variables which required attention.Stitching algorithm - a quick search for information on panorama stitching will yield a ton of informa-tion, however, turning this information into useful code was a mountain of a task. I created a simple panorama stitching program using SIFT feature matching and homography transforms, but quickly realized its performance was to be no where near the professional open source libraries available. In the end, I turned to the Stitcher algorithm provided by OpenCV, which implements a fuller, more in-depth version of the algorithm I began using.

Result analysis: Since a large portion of time consumed by this project was spent on the setup, I feel obliged to comment on it first. As it stands now, I have created a system that provides an inter-face for interaction between the iRobot and a computer. It could be relatively easily expanded into providing further functionality, such as more complicated movement patterns or even remote control via smartphone. At the moment, the software lacks a certain measure of robustness, however the addition of such measures would make for a better system overall.As for the panorama results, it clearly depends a lot on the lighting and camera resolution. As demonstrated by this poster, the combination of dim lighting and poor camera resolution used in the photos resulted in rather blurry images. Otherwise, the usage of feature detection to transform nearby images to align with each other is a solid approach when done correctly.

CONNECTION TO WEBCAM

INPUT IMAGES

STITCHING ALGORITHM

WARP IMAGES

RESIZE(LOW RESOLUTION)

REGISTRATION DATA

RESIZE(MEDIUM RESOLUTION)

FIND FEATURES

WARP IMAGES

COMPOSITING

REGISTRATION

Dangerous Adventures: Can travel and take panoramas where people shouldn’t.90 Degree Panorama.

Silent and Steady: Can take consistent panoramas unnoticed by those around it.90 Degree Panorama.



ROTATE WHILE COLLECTING PHOTO

DATA

SEND PICTURES TO STITCHING ALGORITHM

DISPLAY AND SAVE THE RESULT

STITCHING ALGORITHM

COMPENSATE EXPOSURE ERRORS

BLEND IMAGES

REGISTRATION DATA

FINAL PANORAMA

FIND FEATURES SELECT IMAGES AND MATCHES SUBSET TO

BUILD PANORAMA

MATCH FEATURES

WAVE CORRECTION

FINAL PANO SCALE ESTIMATION

ESTIMATE CAMERA PARAMETERS ROUGH

INITIAL GUESS

REFINE CAMERA PARAMETERS

GLOBALLY

WARP IMAGES

ESTIMATE EXPOSURE ERRORS

RESIZE MASKS TO THE ORIGINAL RESOLUTION

FIND SEAM MASKS

COMPOSITING

REGISTRATION





ROTATE WHILE COLLECTING PHOTO

DATA

SEND PICTURES TO STITCHING ALGORITHM


STITCHING ALGORITHM

COMPENSATE EXPOSURE ERRORS

BLEND IMAGES

REGISTRATION DATA

FINAL PANORAMA

FIND FEATURES SELECT IMAGES AND MATCHES SUBSET TO

BUILD PANORAMA

MATCH FEATURES

WAVE CORRECTION

FINAL PANO SCALE ESTIMATION

ESTIMATE CAMERA PARAMETERS ROUGH

INITIAL GUESS

REFINE CAMERA PARAMETERS

GLOBALLY

WARP IMAGES

ESTIMATE EXPOSURE ERRORS

RESIZE MASKS TO THE ORIGINAL RESOLUTION

FIND SEAM MASKS





FINAL PANORAMA

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