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Interest Points of General Imbalance
IEEE Transactions on Image Processing, 2009The imbalance oriented selection scheme was recently introduced to detect stable interest points in weakly or sparsely textured images. The scheme chooses image points whose one-pixel-wide directional intensity variations can be clustered into two imbalanced classes as candidates. An important property of imbalance oriented selection is that imbalanced
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Self-Similarity and Points of Interest
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010In this work, we present a new approach to interest point detection. Different types of features in images are detected by using a common computational concept. The proposed approach considers the total variability of local regions. The total sum of squares computed on the intensity values of a local circular region is divided into three components ...
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2022
A point of interest must be all of the following: • Locatable. It must be a geographical space and, therefore, it must be possible to locate it through coordinates on a map. • Geographically limitable. It is possible to establish the space it occupies and define the limits it covers. • Accessible.
Padrón Ávila, Hugo +1 more
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A point of interest must be all of the following: • Locatable. It must be a geographical space and, therefore, it must be possible to locate it through coordinates on a map. • Geographically limitable. It is possible to establish the space it occupies and define the limits it covers. • Accessible.
Padrón Ávila, Hugo +1 more
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Competitive Analysis for Points of Interest
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020The competitive relationship of Points of Interest (POIs) refers to the degree of competition between two POIs for business opportunities from third parties in an urban area. Existing studies for competitive analysis usually focus on mining competitive relationships of entities, such as companies or products, from textual data.
Shuangli Li +5 more
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Interest points as a focus measure
2012 35th International Conference on Telecommunications and Signal Processing (TSP), 2012In this paper, we propose a novel focus measure that is based on algorithms for interest point detection, particularly on the Fast Hessian detector. The proposed measure is compared with the energy of image gradient and sum-modified Laplacian that are commonly used as focus measures to test its reliability and performance. The measures have been tested
Jirí Mekyska +3 more
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2011 International Conference on Computer Vision, 2011
In this paper, we describe an interest point detector using edge foci. Unlike traditional detectors that compute interest points directly from image intensities, we use normalized intensity edges and their orientations. We hypothesize that detectors based on the presence of oriented edges are more robust to non-linear lighting variations and background
C. Lawrence Zitnick, Krishnan Ramnath
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In this paper, we describe an interest point detector using edge foci. Unlike traditional detectors that compute interest points directly from image intensities, we use normalized intensity edges and their orientations. We hypothesize that detectors based on the presence of oriented edges are more robust to non-linear lighting variations and background
C. Lawrence Zitnick, Krishnan Ramnath
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Discriminant Interest Points are Stable
2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007A study of the performance of recently introduced discriminant methods for interest point detection [6,14] is presented. It has been previously shown that the resulting interest points are more informative for object recognition than those produced by the detectors currently used in computer vision.
Dashan Gao 0001, Nuno Vasconcelos
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Top-Points as Interest Points for Image Matching
2006We consider the use of top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offset as well as scale-Euclidean transformations. The differential properties and noise characteristics of these points are mathematically well understood.
Bram Platel +3 more
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Interest Point Stability Prediction
2009Selective attention algorithms produce more interest points than are usable by many computer vision applications. This work suggests a method for ordering and selecting a subset of those interest points, simultaneously increasing the repeatability of that subset.
H. Thomson Comer, Bruce A. Draper
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Points of Interest and a Point of View
In Situ Archaeologica, 2003This paper provides for a number of insights that attempt to move beyond regional perspectives. In doing so, the term “culture”, for example, is briefly touched upon along with tanged points that have been found on the west coast of Sweden. In addition, “long range” seasonal rounds and eventual points of departure on the Continent have been taken into ...
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