Wednesday, September 30, 2015

Reading 14: ShortStraw

Paper
Wolin, Aaron, Brian Eoff, and Tracy Hammond. "ShortStraw: A Simple and Effective Corner Finder for Polylines." SBM. 2008.
Direct Link: http://www.researchgate.net/profile/Tracy_Hammond/publication/220772398_ShortStraw_A_Simple_and_Effective_Corner_Finder_for_Polylines/links/0deec529f76e58d523000000.pdf

Notes
This is a fun and interesting corner detection algorithm that's also very simple.

Monday, September 28, 2015

Reading 13: Domain-Independent Recognition

Paper
Yu, Bo, and Shijie Cai. "A domain-independent system for sketch recognition." Proceedings of the 1st international conference on Computer graphics and interactive techniques in Australasia and South East Asia. ACM, 2003.
Publication Link: http://dl.acm.org/citation.cfm?id=604499

Friday, September 25, 2015

Reading 12: Sketch-Based Interfaces

Paper
Sezgin, Tevfik Metin, Thomas Stahovich, and Randall Davis. "Sketch based interfaces: early processing for sketch understanding." ACM SIGGRAPH 2006 Courses. ACM, 2006.
Publication Link: http://dl.acm.org/citation.cfm?id=1185783

Notes
This paper is a good example of how several of these sketch features and algorithms can be combined into a user interface.

Wednesday, September 23, 2015

Reading 11 - No Rubine? Geometric-Based Features

Paper
Paulson, Brandon, et al. "What!?! no Rubine features?: using geometric-based features to produce normalized confidence values for sketch recognition." HCC Workshop: Sketch Tools for Diagramming. 2008.
Direct Link: https://www.cs.auckland.ac.nz/research/conferences/skekchws/proceedings/vlhcc_stws_p57.pdf

Notes
Continuing our discussion of different sketch features, this paper looks at some geometric-based features.

Monday, September 21, 2015

Reading 10 - Visual Similarity of Gestures

Paper
Long Jr, A. Chris, et al. "Visual similarity of pen gestures." Proceedings of the SIGCHI conference on Human Factors in Computing Systems. ACM, 2000.
Publication Link: http://dl.acm.org/citation.cfm?id=332458

Notes
These authors have a lot of work in the area of gesture recognition using different form factors and inputs.  This paper discusses some of the background for their work, examining visual similarity of gestures and how this may be determined.

Friday, September 18, 2015

Extra Credit - Book Chapter Feedback

The latest reading is a draft of a document written by Dr. Hammond, and she would like to receive as much feedback on it as possible.  As you're reading it this weekend, note your comments, ideas, and suggestions and then when you're finished, add them to the Google Doc shared below.

There will be a small amount of extra credit associated with each unique suggestion or correction you provide.  That is, if you've found a typo, but someone else already has commented on it, you would not receive credit for that correction but any new one would be worth credit.

In addition to finding typos, if there is a part of the text that is confusing or you think could be explained in a better way, suggest it.  If there is an image you think should be changed, you could mention that too.  You can also contribute your own images if you have an idea for a better one or a new one that will illustrate a concept well.

You must be logged into your TAMU account to edit this document.  Add your feedback below the others ahead of you.  Try to only add when you have everything you want to put in the document; it's better not to be making a bunch of edits above the others.

This is only extra credit.  It is not required.  It will be at least a couple of weeks before this is due, but note that credit is provided first-come-first-serve.  As time progresses, it will be harder to find things to comment on.

Chapter Suggestions


Reading 9 - Gesture Recognition Overview

Paper
Gesture Recognition Features Overview.  This document is not available online.  You will need to meet with me to obtain a copy.

Notes
This is an overview document of some of the common gesture recognition features, paying attention primarily to Rubine's definitions.  It should be a helpful supplement to Rubine's paper (the previous reading) that will give a lot more detail about how the features work and why they were selected.