Publicacións

@article{Rodriguez2011257,

title = {Study of strength tests with computer vision techniques},

author = {Álvaro Rodríguez and Juan R. Rabuñal-Dopico and Juan Luis Pérez-Ordóñez and Fernando Martínez-Abella},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79956296419&doi=10.1007%2f978-3-642-21326-7_28&partnerID=40&md5=9e45b9ff4e22364d7d59a020a6997eaf},

doi = {10.1007/978-3-642-21326-7_28},

issn = {03029743},

year  = {2011},

date = {2011-01-01},

urldate = {2011-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {6687 LNCS},

number = {PART 2},

pages = {257-266},

abstract = {Knowing the strain response of materials in strength tests is one of the main issues in construction and engineering fields. In these tests, information about displacements and strains is usually carried out using physical devices attached to the material. In this paper, the suitability of Computer Vision techniques to analyse strength tests without interfering with the assay is discussed and a new technique is proposed. This technique measures displacements and deformations from a video sequence of the assay. With this purpose a Block-Matching Optical Flow algorithm is integrated with a calibration process to extract the vectorfield from the displacement in the material. To evaluate the proposed technique, a synthetic image set and a real sequence from a strength tests were analysed. © 2011 Springer-Verlag Berlin Heidelberg.},

note = {cited By 2},

keywords = {Block Matching; Calibration process; Computer vision techniques; Engineering fields; Optical flow algorithm; Physical devices; Strain response; Strength Tests; Synthetic images; Technique measures; Video sequences, Computer vision, Image matching; Optical flows; Strain; Testing},

pubstate = {published},

tppubtype = {article}

}