Prime members enjoy free twoday delivery and exclusive access to music, movies, tv shows, original audio series, and kindle books. The problem of scale pervades both the natural sciences and the vi sual arts. Cambridge mathematica library, cambridge university. A very clear account in the spirit of modern scalespace theory is presented by boscovitz in 1758, with wide ranging applications to mathemat ics, physics and geography. Lindeberg 2017 normative theory of visual receptive fields, arxiv preprint arxiv. Detecting salient bloblike image structures and their scales with a scale space primal sketch. The earliest scientific discussions concentrate on visual per ception much like today. Scalespace theory in computer vision describes a formal theory for representing the notion of scale in image data, and shows how this theory applies to essential problems in computer vision such. This book constitutes the refereed proceedings of the third international conference on scale space and morphology in computer vision, scale space 2001, held in vancouver, canada in july 2001.
Scalespace theory in computer vision tony lindeberg springer. Scalespace and morphology in computer vision springerlink. Scalespace theory in computer vision semantic scholar. The earliest scientific discussions concentrate on visual per ception much like. Scalespace theory in computer vision tony lindeberg. Eye, brain and vision, volume 22 of scientific american library. Scalespace theory in computer vision the springer international. Introduction to scalespace theory jhu computer science. A method for focusofattention t lindeberg international journal of computer vision 11 3, 283318, 1993. Tony lindeberg at kth royal institute of technology. Scalespace theory for multiscale geometric image analysis. Tony lindeberg, scalespace theory in computer vision, kluwer. Early applications occur in the cartographic problem of generalization, the central idea being that a map in order to be useful has.
It is intended as an introduction, reference, and inspiration for researchers, students, and system designers in computer vision as well as related fields such as image processing, photogrammetry, medical image analysis, and signal processing in general. No new extrema are formed at larger scales lindeberg 1990a. Scale space and variational methods in computer vision 4th international conference, ssvm 20, schloss seggau, leibnitz, austria, june 26, 20. Multiscale image analysis has gained firm ground in computer vision, image processing and models of. This book is the first monograph on scalespace theory. Tony lindeberg is a professor of computer sciencecomputational vision. Scalespace theory is a framework for multiscale signal representation developed by the computer vision, image processing and signal processing communities. A basic tool for analysing structures at different scales. Scalespace theory in computer vision the springer international series in engineering and computer science tony lindeberg on. Next, a multibody dynamics simulation software, recurdyntrack, is used to. Early applications occur in the cartographic problem of generalization, the central idea being that a map in order to be useful has to be a generalized coarse grained representation of the actual terrain miller and voskuil 1964.
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