Image Stitching — Comparisons and New Techniques

Chen, Chia‐Yen; Klette, Reinhard

doi:10.1007/3-540-48375-6_73

Cited by 69 publications

(61 citation statements)

References 6 publications

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“…The Euclidean distance map can be efficiently computed using a two-pass raster algorithm (Danielsson 1980, Borgefors 1986. Weighted averaging with a distance map is often called feathering , Chen and Klette 1999, Uyttendaele et al 2001 and does a reasonable job of blending over exposure differences. However, blurring and ghosting can still be problems (Figure 21c).…”

Section: Pixel Selection and Weightingmentioning

confidence: 99%

Image Alignment and Stitching: A Tutorial

Szeliski

2007

FNT in Computer Graphics and Vision

1,159

660

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This tutorial reviews image alignment and image stitching algorithms. Image alignment algorithms can discover the correspondence relationships among images with varying degrees of overlap. They are ideally suited for applications such as video stabilization, summarization, and the creation of panoramic mosaics. Image stitching algorithms take the alignment estimates produced by such registration algorithms and blend the images in a seamless manner, taking care to deal with potential problems such as blurring or ghosting caused by parallax and scene movement as well as varying image exposures. This tutorial reviews the basic motion models underlying alignment and stitching algorithms, describes effective direct (pixel-based) and feature-based alignment algorithms, and describes blending algorithms used to produce seamless mosaics. It closes with a discussion of open research problems in the area.

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Section: Pixel Selection and Weightingmentioning

confidence: 99%

Image Alignment and Stitching: A Tutorial

Szeliski

2007

FNT in Computer Graphics and Vision

1,159

660

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“…Image blending methods are needed to deal with the problem of intensity differences between images after they have been aligned. Several methods have been proposed for image blending [24,62,91,114] as well as for mosaicing [104]. Pairwise and global alignment methods are reviewed and detailed later in this chapter.…”

Section: Chaptermentioning

confidence: 99%

Efficient Topology Estimation for Large Scale Optical Mapping

Elibol¹,

Gracias²,

García³

2013

Springer Tracts in Advanced Robotics

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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...

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“…The fundamental idea to generate a larger image with a wider view -a so-called panorama image -from a set of temporally and spatially adjacent image frames is certainly well established in computational photography [1,2], and has already been applied within various fields of image based medicine in the past years. Examples of panoramic images within medical applications are e.g.…”

Section: Introductionmentioning

confidence: 99%

Laryngoscopic Image Stitching for View Enhancement and Documentation – First Experiences

Schuster

Bergen

Reiter

et al. 2012

Biomedical Engineering / Biomedizinische Technik

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One known problem within laryngoscopy is the spatially limited view onto the hypopharynx and the larynx through the endoscope. To examine the complete larynx and hypopharynx, the laryngoscope can be rotated about its main axis, and hence the physician obtains a complete view. If such examinations are captured using endoscopic video, the examination can be reviewed in detail at a later time. Nevertheless, in order to document the examination with a single representative image, a panorama image can be computed for archiving and enhanced documentation. Twenty patients with various clinical findings were examined with a 70° rigid laryngoscope, and the video sequences were digitally stored. The image sequence for each patient was then post-processed using an image stitching tool based on SIFT features, the RANSAC approach and blending. As a result, endoscopic panorama images of the larynx and pharynx were obtained for each video sequence. The proposed approach of image stitching for laryngoscopic video sequences offers a new tool for enhanced visual examination and documentation of morphologic characteristics of the larynx and the hypopharynx.

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Image Stitching — Comparisons and New Techniques

Cited by 69 publications

References 6 publications

Image Alignment and Stitching: A Tutorial

Image Alignment and Stitching: A Tutorial

Efficient Topology Estimation for Large Scale Optical Mapping

Laryngoscopic Image Stitching for View Enhancement and Documentation – First Experiences

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