AMNE:(NATURAL SCIENCES) AMNE:(Computer and Information Sciences) AMNE:(Computer Vision and Robotics)
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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 03393naa a2200481 4500 | |
| 001 | oai:DiVA.org:kth-58571 | |
| 003 | SwePub | |
| 008 | 120105s1993 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-585712 URI |
| 024 | 7 | a https://doi.org/10.1109/ICCV.1993.3781462 DOI |
| 040 | a (SwePub)kth | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a kon2 swepub-publicationtype |
| 100 | 1 | a Lindeberg, Tony,d 1964-u KTH,Beräkningsbiologi, CB4 aut0 (Swepub:kth)u1ht8xqq |
| 245 | 1 0 | a Shape from Texture from a Multi-Scale Perspective |
| 264 | 1 | b IEEE conference proceedings,c 1993 |
| 338 | a electronic2 rdacarrier | |
| 500 | a QC 20130422 | |
| 520 | a The problem of scale in shape from texture is addressed. The need for (at least) two scale parameters is emphasized; a local scale describing the amount of smoothing used for suppressing noise and irrelevant details when computing primitive texture descriptors from image data, and an integration scale describing the size of the region in space over which the statistics of the local descriptors is accumulated.A novel mechanism for automatic scale selection is used, based on normalized derivatives. It is used for adaptive determination of the two scale parameters in a multi-scale texture descriptor, thewindowed second moment matrix, which is defined in terms of Gaussian smoothing, first order derivatives, and non-linear pointwise combinations of these. The same scale-selection method can be used for multi-scale blob detection without any tuning parameters or thresholding.The resulting texture description can be combined with various assumptions about surface texture in order to estimate local surface orientation. Two specific assumptions, ``weak isotropy'' and ``constant area'', are explored in more detail. Experiments on real and synthetic reference data with known geometry demonstrate the viability of the approach. | |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datorseende och robotik0 (SwePub)102072 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Vision and Robotics0 (SwePub)102072 hsv//eng |
| 653 | a Computer vision | |
| 653 | a Data mining | |
| 653 | a Geometry | |
| 653 | a Image analysis | |
| 653 | a Laboratories | |
| 653 | a Noise shaping | |
| 653 | a Shape | |
| 653 | a Smoothing methods | |
| 653 | a Statistics | |
| 653 | a Surface texture | |
| 700 | 1 | a Gårding, Jonas4 aut |
| 710 | 2 | a KTHb Beräkningsbiologi, CB4 org |
| 773 | 0 | t Fourth International Conference on Computer Vision, 1993. Proceedingsd : IEEE conference proceedingsg , s. 683-691q <683-691z 0818638702 |
| 856 | 4 | u http://www.csc.kth.se/~tony/abstracts/LG93-ICCV.htmly At author's home page |
| 856 | 4 | u http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=378146y IEEEXplore |
| 856 | 4 | u https://kth.diva-portal.org/smash/get/diva2:473366/FULLTEXT01.pdfx primaryx Raw objecty fulltext:preprint |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-58571 |
| 856 | 4 8 | u https://doi.org/10.1109/ICCV.1993.378146 |
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