A feature-based technique for joint, linear estimation of high-order image-to-mosaic transformations: mosaicing the curved human retina

Can, Ali; Stewart, Charles; Roysam, Badrinath; Tanenbaum, H.L.

doi:10.1109/34.990145

Cited by 101 publications

(60 citation statements)

References 26 publications

(34 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Global alignment usually requires the minimisation of an error term, which is defined from image correspondences. Global alignment methods can be classified according to the domain where the error term is defined, which is commonly either in the image frame [105,23,77,38] or in the mosaic frame [28,58,98,89,43,22].…”

Section: Review Of Global Alignment Methodsmentioning

confidence: 99%

Efficient Topology Estimation for Large Scale Optical Mapping

Elibol¹,

Gracias²,

García³

2013

Springer Tracts in Advanced Robotics

View full text Add to dashboard Cite

ADVERTIMENT. La consulta d'aquesta tesi queda condicionada a l'acceptació de les següents condicions d'ús: La difusió d'aquesta tesi per mitjà del servei TDX ha estat autoritzada pels titulars dels drets de propietat intel·lectual únicament per a usos privats emmarcats en activitats d'investigació i docència. No s'autoritza la seva reproducció amb finalitats de lucre ni la seva difusió i posada a disposició des d'un lloc aliè al servei TDX. No s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant al resum de presentació de la tesi com als seus continguts. En la utilització o cita de parts de la tesi és obligat indicar el nom de la persona autora.ADVERTENCIA. La consulta de esta tesis queda condicionada a la aceptación de las siguientes condiciones de uso: La difusión de esta tesis por medio del servicio TDR ha sido autorizada por los titulares de los derechos de propiedad intelectual únicamente para usos privados enmarcados en actividades de investigación y docencia. No se autoriza su reproducción con finalidades de lucro ni su difusión y puesta a disposición desde un sitio ajeno al servicio TDR. No se autoriza la presentación de su contenido en una ventana o marco ajeno a TDR (framing). Esta reserva de derechos afecta tanto al resumen de presentación de la tesis como a sus contenidos. En la utilización o cita de partes de la tesis es obligado indicar el nombre de la persona autora. WARNING.On having consulted this thesis you're accepting the following use conditions: Spreading this thesis by the TDX service has been authorized by the titular of the intellectual property rights only for private uses placed in investigation and teaching activities. Reproduction with lucrative aims is not authorized neither its spreading and availability from a site foreign to the TDX service. Introducing its content in a window or frame foreign to the TDX service is not authorized (framing). This rights affect to the presentation summary of the thesis as well as to its contents. In the using or citation of parts of the thesis it's obliged to indicate the name of the author. PhD AbstractLarge scale image mosaicing methods are in great demand among scientists who study different aspects of the seabed, and have been fostered by impressive advances in the capabilities of underwater robots in gathering optical data from the seafloor. Cost and weight constraints mean that low-cost Remotely operated vehicles (ROVs) usually have a very limited number of sensors. When a low-cost robot carries out a seafloor survey using a downlooking camera, it usually follows a predefined trajectory that provides several non time-consecutive overlapping image pairs. Finding these pairs (a process known as topology estimation) is indispensable to obtaining globally consistent mosaics and accurate trajectory estimates, which are necessary for a global view of the surveyed area, especially when optical sensors are the only data source.This thesis presents a set of consistent methods a...

show abstract

Section: Review Of Global Alignment Methodsmentioning

confidence: 99%

Efficient Topology Estimation for Large Scale Optical Mapping

Elibol¹,

Gracias²,

García³

2013

Springer Tracts in Advanced Robotics

View full text Add to dashboard Cite

show abstract

“…In immediately relevant work, Stewart et al [8][9][10] have developed extremely reliable methods for registering retinal fundus images and angiograms. In extensive longitudinal studies, they report sub-pixel registration accuracies, and successful automated registration in more than 99% of cases.…”

Section: Intraoperative Visualization Of Anatomical Targets In Retinamentioning

confidence: 99%

Intraoperative Visualization of Anatomical Targets in Retinal Surgery

Fleming¹,

Voros²,

Vágvölgyi³

et al. 2008

2008 IEEE Workshop on Applications of Computer Vision

View full text Add to dashboard Cite

show abstract

“…This technique has been implemented in medicine such as retinal image [1]. There are also a few initial researches done in the field of minimally invasive surgery, such as Minimally Invasive Surgery (MIS) is the current trend in surgery.…”

Section: Introductionmentioning

confidence: 99%

“…To this date, a real-time panoramic endoscope has not yet been published. Unlike the currently medical image mosaicing technique [1], the image-based panoramic expansion shown in Fig. 1 is the mapping of the internals with images captured from the path of the endoscope.…”

Section: Introductionmentioning

confidence: 99%