Publication
PoolLiveAid: augmented reality pool table to assist inexperienced players
dc.contributor.author | Alves, Ricardo | |
dc.contributor.author | Sousa, L. | |
dc.contributor.author | Rodrigues, J. M. F. | |
dc.date.accessioned | 2014-01-29T17:31:06Z | |
dc.date.available | 2014-01-29T17:31:06Z | |
dc.date.issued | 2013 | |
dc.date.updated | 2014-01-27T23:32:49Z | |
dc.description.abstract | PoolLiveAid is an augmented reality tool designed to assist unskilled or amateur pool, or snooker or billiards players in predicting trajectories. A camera placed above the table acquires and processes the game on-the-fly. The system detects the table border, the ball's position an the pool cue direction in order to compute the predictable trajectory of the white ball, and the ball directly in its trajectory. The output result is then forwarded to a projector, placed above the table, which then projects onto the snooker playable field. A skilled player can also save a specific layout of a move and load it later in order to achieve the best shot and practising. | por |
dc.identifier.citation | Alves, R.; Sousa, L.; Rodrigues, J.M.F.PoolLiveAid: Augmented reality pool table to assist inexperienced players, Trabalho apresentado na 21st Int. Conf. on Computer Graphics, Visualization and Computer Vision, Plzen, Czech Republic, 2013. | por |
dc.identifier.isbn | 978-80-86943-75-6 | |
dc.identifier.other | AUT: JRO00913; | |
dc.identifier.uri | http://hdl.handle.net/10400.1/3386 | |
dc.language.iso | eng | por |
dc.peerreviewed | yes | por |
dc.subject | Augmented reality | por |
dc.subject | Computer vision | por |
dc.subject | Pool game | por |
dc.title | PoolLiveAid: augmented reality pool table to assist inexperienced players | por |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.citation.conferencePlace | Plzen, República Checa | por |
oaire.citation.endPage | 193 | por |
oaire.citation.startPage | 184 | por |
oaire.citation.title | 21st International Conference on Computer Graphics, Visualization and Computer Vision 2013 | por |
person.familyName | Rodrigues | |
person.givenName | Joao | |
person.identifier.ciencia-id | 8A19-98F7-9914 | |
person.identifier.orcid | 0000-0002-3562-6025 | |
person.identifier.scopus-author-id | 55807461600 | |
rcaap.rights | openAccess | por |
rcaap.type | conferenceObject | por |
relation.isAuthorOfPublication | 683ba85b-459c-4789-a4ff-a4e2a904b295 | |
relation.isAuthorOfPublication.latestForDiscovery | 683ba85b-459c-4789-a4ff-a4e2a904b295 |