| dc.creator | Paulino da Silva,Juarez | |
| dc.creator | Lamar,Marcus Vinicius | |
| dc.creator | Bordim,Jacir Luiz | |
| dc.date | 2014-08-01 | |
| dc.date.accessioned | 2023-09-25T18:35:19Z | |
| dc.date.available | 2023-09-25T18:35:19Z | |
| dc.identifier | http://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002014000200011 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/8838484 | |
| dc.description | This work addresses the problem of recognizing the American Sign Language (ASL) hand alphabet relying only on depth information acquired from an RGB-D sensor. To accomplish this goal, a novel Iterative Closest Point (ICP) based recognition methodology is proposed where it comprehensively analyzes the inputs and outputs of the alignment as efficiency and accuracy determinants. Next, a novel classification technique, denoted Approximated KB-fit, is proposed to efficiently handle the space complexity of the database template matching. The overall accuracy of the recognition reached a performance of 99.04% in a cross-validation workbench with 520 distinct input depth images. The achieved frame rate was 7.41 FPS performed on a 2:4 GHz single processor based machine | |
| dc.format | text/html | |
| dc.language | en | |
| dc.publisher | Centro Latinoamericano de Estudios en Informática | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | CLEI Electronic Journal v.17 n.2 2014 | |
| dc.subject | 3D Shape Congruence | |
| dc.subject | ASL Hand Alphabet Recognition | |
| dc.subject | ICP Alignment | |
| dc.subject | Pattern Recognition | |
| dc.subject | Template Matching Architecture | |
| dc.title | Accuracy and Efficiency Performance of the ICP Procedure Applied to Sign Language Recognition | |
| dc.type | info:eu-repo/semantics/article | |
