cris.boxmetadata.label.title
Digital holography as computer vision position sensor with an extended range of working distances
cris.boxmetadata.label.dateissued
01 browse.startsWith.months.july 2018
cris.boxmetadata.label.accesslevel
open access
cris.boxmetadata.label.resourcetype
journal article
cris.boxmetadata.label.authors
cris.boxmetadata.label.publisher
MDPI AG
cris.boxmetadata.label.abstract
Standard computer vision methods are usually based on powerful contact-less measurement approaches but applications, especially at the micro-scale, are restricted by finite depth-of-field and fixed working distance of imaging devices. Digital holography is a lensless, indirect imaging method recording the optical wave diffracted by the object onto the image sensor. The object is reconstructed numerically by propagating the recorded wavefront backward. The object distance becomes a computation parameter that can be chosen arbitrarily and adjusted to match the object position. No refractive lens is used and usual depth-of-field and working distance limitations are replaced by less restrictive ones tied to the laser-source coherence-length and to the size and resolution of the camera sensor. This paper applies digital holography to artificial visual in-plane position sensing with an extra-large range-to-resolution ratio. The object is made of a pseudoperiodic pattern allowing a subpixel resolution as well as a supra field-of-observation displacement range. We demonstrate an in-plane resolution of 50 nm and 0.002 deg. in X, Y and θ respectively, over a working distance range of more than 15 cm. The allowed workspace extends over 12 × 10 × 150 mm3. Digital holography extends the field of application of computer vision by allowing an extra-large range of working distances inaccessible to refractive imaging systems.
cris.boxmetadata.label.volume
18
cris.boxmetadata.label.issue
7
cris.boxmetadata.label.language
English
cris.boxmetadata.label.ocdeknowledgeArea
Biotecnología relacionada con la salud Tecnologías que implican la manipulación de células, tejidos, órganos o todo el organismo
cris.boxmetadata.label.doi
cris.boxmetadata.label.scopusidentifier
2-s2.0-85049018520
cris.boxmetadata.label.pubmedidentifier
cris.boxmetadata.label.source
Sensors (Switzerland)
cris.boxmetadata.label.containerissn
14248220
cris.boxmetadata.label.sponsor
Funding: Miguel Asmad was supported by Student Grant Huiracocha Program-PUCP (Perù). This work was also supported by ROBOTEX (ANR-10-EQPX-44-01) and Labex Action (ANR-11-LABX-01-01).
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