Titlebook: Computer Vision - ECCV 2004; 8th European Confere Tomás Pajdla,Jiří Matas Conference proceedings 2004 Springer-Verlag Berlin Heidelberg 200

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Automated Optic Disc Localization and Contour Detection Using Ellipse Fitting and Wavelet Transformle successful grading of macular pathology such as diabetic maculopathy. However, the extreme variation of intensity features within the optic disc and intensity variations close to the optic disc boundary presents a major obstacle in automated optic disc detection. The presence of blood vessels, cr

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Variational Pairing of Image Segmentation and Blind Restorationhows that the two problems are tightly coupled and can be successfully solved together. Mutual support of the segmentation and blind restoration processes within a joint variational framework is theoretically motivated, and validated by successful experimental results. The proposed variational metho

CARK

Towards Intelligent Mission Profiles of Micro Air Vehicles: Multiscale Viterbi Classification). The most important factors that inform our design choices are: real-time constraints, robustness to video noise, and complexity of object appearances. As such, we first propose the HSI color space and the Complex Wavelet Transform (CWT) as a set of sufficiently discriminating features. For each f

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Stitching and Reconstruction of Linear-Pushbroom Panoramic Images for Planar Scenesfeasible on planar scene such as large-scale paintings or aerial/satellite images that are considered to be planar. The image integration consists of two steps: stitching and Euclidean reconstruction. For the image stitching, a minimum of five pairs of non-collinear image corresponding points are re

Engulf

Audio-Video Integration for Background Modelling a fixed camera can be easily supported by audio information allowing a more complete analysis of the monitored scene. The key idea is to build a multimodal model of the scene background, able to promptly detect single auditory or visual events, as well as simultaneous audio and visual foreground si

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Image and Video Segmentation by Anisotropic Kernel Mean Shiftses a radially symmetric kernel to estimate local density, which is not optimal in view of the often structured nature of image and more particularly video data. In this paper we present an anisotropic kernel mean shift in which the shape, scale, and orientation of the kernels adapt to the local str

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https://doi.org/10.1057/9780230618411e is considered as a collection of pixels, and each pixel measures the light travelling along a (half-) ray in 3-space associated with that pixel. Calibration is the determination, in some common coordinate system, of the coordinates of all pixels’ rays. This model encompasses most projection models