T. Hammond, B. Eoff, Brandon Paulson, A. Wolin, K. Dahmen, Joshua Johnston, Pankaj Rajan
{"title":"Free-sketch recognition: putting the chi in sketching","authors":"T. Hammond, B. Eoff, Brandon Paulson, A. Wolin, K. Dahmen, Joshua Johnston, Pankaj Rajan","doi":"10.1145/1358628.1358802","DOIUrl":null,"url":null,"abstract":"Sketch recognition techniques have generally fallen into two camps. Gesture-based techniques, such as those used by the Palm Pilot's Graffiti, can provide high-accuracy, but require the user to learn a particular drawing style in order for shapes to be recognized. Free-sketch recognition allows users to draw shapes as they would naturally, but most current techniques have low accuracies or require significant domain-level tweaking to make them usable. Our goal is to recognize free-hand sketches with high accuracy by developing generalized techniques that work for a variety of domains, including design and education. This is a work-in-progress, but we have made significant advancements toward our over-arching goal.","PeriodicalId":310204,"journal":{"name":"CHI '08 Extended Abstracts on Human Factors in Computing Systems","volume":"10 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CHI '08 Extended Abstracts on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1358628.1358802","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 29
Abstract
Sketch recognition techniques have generally fallen into two camps. Gesture-based techniques, such as those used by the Palm Pilot's Graffiti, can provide high-accuracy, but require the user to learn a particular drawing style in order for shapes to be recognized. Free-sketch recognition allows users to draw shapes as they would naturally, but most current techniques have low accuracies or require significant domain-level tweaking to make them usable. Our goal is to recognize free-hand sketches with high accuracy by developing generalized techniques that work for a variety of domains, including design and education. This is a work-in-progress, but we have made significant advancements toward our over-arching goal.