A Comparison of Affine Region Detectors

Mikolajczyk, Krystian; Tuytelaars, Tinne; Schmid, Cordelia; Zisserman, Andrew; Matas, Jiřı́; Schaffalitzky, Frederik; Kadir, Timor; Gool, Luc Van

doi:10.1007/s11263-005-3848-x

Cited by 2,679 publications

(2,491 citation statements)

References 48 publications

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“…1. We use an affine invariant Harris-Laplace detector [2]. In the shape normalization step the images are reduced to 20 by 20 neighborhoods.…”

Section: Methodsmentioning

confidence: 99%

“…It consists of a Mondrian composition captured under 11 different illuminants (the images are from the Simon Frasier data set [23]). The second sequence [2], of six images, is an outdoor scene, taken with varying exposure times. This not only provokes an intensity change but also changes the amount of diffuse light captured by the camera (as modelled in Eq.…”

Section: Matching: Free Illumination -Controlled Geometrymentioning

confidence: 99%

“…A considerable amount of research has been dedicated to robust local shape descriptors. An extensive study by Mikolajczyk and Schmid [2] reported the SIFT descriptor [3] to perform best. The description of local color has received relatively little attention, and as a result most local features-based methods [3], [4], [5] use only luminance and ignore color information.…”

Section: Introductionmentioning

confidence: 99%

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Coloring Local Feature Extraction

Weijer

Schmid

2006

Lecture Notes in Computer Science

318

236

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Abstract. Although color is commonly experienced as an indispensable quality in describing the world around us, state-of-the art local featurebased representations are mostly based on shape description, and ignore color information. The description of color is hampered by the large amount of variations which causes the measured color values to vary significantly. In this paper we aim to extend the description of local features with color information. To accomplish a wide applicability of the color descriptor, it should be robust to : 1. photometric changes commonly encountered in the real world, 2. varying image quality, from high quality images to snap-shot photo quality and compressed internet images. Based on these requirements we derive a set of color descriptors. The set of proposed descriptors are compared by extensive testing on multiple applications areas, namely, matching, retrieval and classification, and on a wide variety of image qualities. The results show that color descriptors remain reliable under photometric and geometrical changes, and with decreasing image quality. For all experiments a combination of color and shape outperforms a pure shape-based approach.

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“…1. We use an affine invariant Harris-Laplace detector [2]. In the shape normalization step the images are reduced to 20 by 20 neighborhoods.…”

Section: Methodsmentioning

confidence: 99%

Section: Matching: Free Illumination -Controlled Geometrymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Coloring Local Feature Extraction

Weijer

Schmid

2006

Lecture Notes in Computer Science

318

236

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“…A dictionary of visual words called visual vocabulary is created first, and then an image can be described using the words that occur in it. To build a vocabulary of visual words, interest regions in the images are detected with Hessian-affine detector [8], which provides good performance [9] and is widely used in visual word-based studies because of its insensitiveness to affine transformations such as scaling, reflection, rotation, etc. These regions are described in 128-dimension SIFT descriptors and then clustered by a hierarchical k-means algorithm [10], each cluster representing a visual word.…”

Section: B Detecting Reused Visual Elementsmentioning

confidence: 99%

Managing Presentation Slides with Reused Elements

Zhang¹,

Xiao²,

Hu³

et al. 2016

IJIET

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Abstract-Slide presentations have become a ubiquitous tool for business and educational purposes. Instead of starting from scratch, slide composers tend to make new presentation slides by reusing materials from existing slides. Understanding how slide elements are copied from one presentation file to another and how presentation files are related to each other are difficult tasks. In this paper, it is investigated the management of multiple presentation files based on reused slide elements. Techniques are developed to detect textual and visual elements that have been reused across multiple presentation files. Interactive visualization methods are proposed to facilitate understanding the process by which these elements are reused and the relationship between the files that use them. A system with a user-friendly interface is designed, based on which experiments are performed to evaluate the effectiveness of the proposed methods.Index Terms-Presentation slide management, slide element reuse, slide element visualization.

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“…The reader is encouraged to consult [20] and references therein. At one end of the spectrum of work on on feature-based recognition are simple parametric deformations, e.g.…”

Section: State Of the Artmentioning

confidence: 99%

Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions

Vedaldi

Soatto

2006

Computer Vision – ECCV 2006

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Abstract. We study the set of domain deformations induced on images of three-dimensional scenes by changes of the vantage point. We parametrize such deformations and derive empirical statistics on the parameters, that show a kurtotic behavior similar to that of natural image and range statistics. Such a behavior would suggest that most deformations are locally smooth, and therefore could be captured by simple parametric maps, such as affine ones. However, we show that deformations induced by singularities and occluding boundaries, although rare, are highly salient, thus warranting the development of dedicated descriptors. We therefore illustrate the development of viewpoint invariant descriptors for singularities, as well as for occluding boundaries. We test their performance on scenes where the current state of the art based on affine-invariant region descriptors fail to establish correspondence, highlighting the features and shortcomings of our approach.

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A Comparison of Affine Region Detectors

Cited by 2,679 publications

References 48 publications

Coloring Local Feature Extraction

Coloring Local Feature Extraction

Managing Presentation Slides with Reused Elements

Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions

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