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RANSAC-Flow: generic two-stage image alignment
European Conference on Computer Vision, 2020This paper considers the generic problem of dense alignment between two images, whether they be two frames of a video, two widely different views of a scene, two paintings depicting similar content, etc. Whereas each such task is typically addressed with
XI Shen +3 more
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Local-Adaptive Image Alignment Based on Triangular Facet Approximation
IEEE Transactions on Image Processing, 2020Accurate and efficient image alignment is the core problem in the research of panoramic stitching nowadays. This paper proposes a local-adaptive image alignment method based on triangular facet approximation, which directly manipulates the matching data ...
Jing Li +4 more
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On the extraction and alignment of image edges
Spatial Vision, 1986In this paper the types of image filtering, segmentation and correlational processes which are consistent with the ability of human observers to align edges in arbitrary two-dimensional images are considered. Edge-only versions of a number of images were computed by pre-filtering, segmenting and using laplacians to extract luminance boundaries.
Jerome Yuzyk, Terry Caelli
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2006
Besides stating the problem of image registration this chapter is built on the following parts : 1) Similarity estimation by level sets. We use the Fast Level Sets Transform (see the chapter on TV minimization) to extract reliable features from both images. To each feature we associate similarity invariants, then we consider pairs of features (F1, F2),
Dibos, Françoise +2 more
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Besides stating the problem of image registration this chapter is built on the following parts : 1) Similarity estimation by level sets. We use the Fast Level Sets Transform (see the chapter on TV minimization) to extract reliable features from both images. To each feature we associate similarity invariants, then we consider pairs of features (F1, F2),
Dibos, Françoise +2 more
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Multisensor alignment of image manifolds
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013The access to many sources of satellite information is nowadays a reality. However, few methods allow to consider simultaneously data coming from different sensors, due to the differences in numbers of bands, spatial resolution and changes in the acquisition conditions.
Tuia, Devis +2 more
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Imaging and Alignment for Image-Guided Radiation Therapy
Journal of Clinical Oncology, 2007Image-guided radiation therapy is an exciting new area that focuses heavily on the potential benefit of advanced imaging and image registration to improve precision, thus limiting morbidity and potentially allowing for safe delivery of increased dose.
Marc L. Kessler, James M. Balter
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Image Alignment and Stitching [PDF]
, 2005 Stitching multiple images together to create beautiful high-resolution panoramas is one of the most popular consumer applications of image registration and blending. In this chapter, I review the motion models (geometric transformations) that underlie panoramic image stitching, discuss direct intensity-based and feature-based registration algorithms ...
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Alignment of X-ray bone images
2014 X International Symposium on Telecommunications (BIHTEL), 2014Switching to digital technology from analog brought many changes, especially in storage of digital X-ray images. In cases of multiple fractures or need for imaging of a large area it is necessary to make more than one X-ray image for the observed part of body. This is often the case with spine, legs and arms.
Mislav Grgic +2 more
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Efficient alignment of fingerprint images
Object recognition supported by user interaction for service robots, 2003Fingerprint matching is a common technique for biometric authentication. Solid state sensors for fingerprint recognition are used in small sized embedded systems. The size of these sensors makes it necessary to store several impressions of the same finger.
Bernd Wachmann +2 more
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Metric Learning for Image Alignment
International Journal of Computer Vision, 2009Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appearance Models are commonly used to align images with respect to a template or to a previously learned model. While PAMs have numerous advantages relative to alternate approaches, they
Fernando De la Torre, Minh Hoai Nguyen
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