Image-Based Retrieval and Identification of Ancient Coins

Kampel, Martin; Huber-Mörk, Reinhold; Zaharieva, Maia

doi:10.1109/mis.2009.29

Cited by 18 publications

(16 citation statements)

References 6 publications

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“…Results of GFD have not been much conclusive for our purpose. The next possibility is to use SIFT (Scale-Invariant Feature Transform) and SURF (Speeded-Up Robust Features) descriptor [7], or usage of eigenspace [8]. The methods for shape description are content of MPEG-7 standard.…”

Section: B Current Methodsmentioning

confidence: 99%

Utilization of an Image Specific Areas in Searching

Fasuga

Kapar

urkovský

2010

2010 Fourth International Conference on Digital Society

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The paper describes how to use the image specific segments in search. Particularly it refers to the coins photos, which means we need to regard rotations and different deformations of the images. Possibilities of the images preprocessing are briefly described in the introduction. A great number of images which seems the same at first glance, but differs in details, they may have different texts, symbols, etc. The article deals with proper algorithms for selection of such specific segments, processing, saving and application in search.

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Section: B Current Methodsmentioning

confidence: 99%

Utilization of an Image Specific Areas in Searching

Fasuga

Kapar

urkovský

2010

2010 Fourth International Conference on Digital Society

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“…One of the main problems of ancient coin image analysis that is addressed in the literature is coin identification where the goal is recognizing a specific coin instance instead of a coin type [7], [9]. This type of application finds usage at identification of stolen coins.…”

Section: Previous Workmentioning

confidence: 99%

Two sides of the same coin: Improved ancient coin classification using Graph Transduction Games

Aslan

Vascon

Pelillo

2020

Pattern Recognition Letters

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“…14 Methods for image-based recognition of modern coins include artificial neural networks, edge features, gradient directions, eigenspaces and color, shape, and wavelet features. 15 Additional approaches have been used for classifying ancient coins using scale-invariant feature transform (SIFT) features. 16 Good results have been achieved with a generalized Hough transform to segment the coin edges and features.…”

Section: Image Processing Of Coins In Two-dimensionmentioning

confidence: 99%

Three-dimensional reconstruction of Roman coins from photometric image sets

MacDonald

Almeida

Hess

2017

J. Electron. Imaging

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A method is presented for increasing the spatial resolution of the three-dimensional (3-D) digital representation of coins by combining fine photometric detail derived from a set of photographic images with accurate geometric data from a 3-D laser scanner. 3-D reconstructions were made of the obverse and reverse sides of two ancient Roman denarii by processing sets of images captured under directional lighting in an illumination dome. Surface normal vectors were calculated by a "bounded regression" technique, excluding both shadow and specular components of reflection from the metallic surface. Because of the known difficulty in achieving geometric accuracy when integrating photometric normals to produce a digital elevation model, the low spatial frequencies were replaced by those derived from the point cloud produced by a 3-D laser scanner. The two datasets were scaled and registered by matching the outlines and correlating the surface gradients. The final result was a realistic rendering of the coins at a spatial resolution of 75 pixels∕mm (13-μm spacing), in which the fine detail modulated the underlying geometric form of the surface relief. The method opens the way to obtain high quality 3-D representations of coins in collections to enable interactive online viewing.

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Image-Based Retrieval and Identification of Ancient Coins

Cited by 18 publications

References 6 publications

Utilization of an Image Specific Areas in Searching

Utilization of an Image Specific Areas in Searching

Two sides of the same coin: Improved ancient coin classification using Graph Transduction Games

Three-dimensional reconstruction of Roman coins from photometric image sets

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