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2D and 3D shape retrieval using skeleton filling rate
(Springer, 2017-03)
As an increasing number of digital images are generated, a demand for an efficient and effective image retrieval mechanisms grows. In this work, we present a new skeleton-based algorithm for 2D and 3D shape retrieval. The ...
Why the Names? Anubanini and His Clan in the Cuthaean Legend
(2014)
This article is a study of the ancient Mesopotamian literary text known as the 'Cuthaean Legend'. This Naram-Sin legend is known from several versions in the extant cuneiform corpus of texts (Westenholz 1997). The names ...
Automated Image Matching and New Readings for Cyrus the Great's 547 BC Campaign in the Nabonidus Chronicle (BM 35382 = ABC 7)
(Vandenhoeck & Ruprecht, 2017-12)
This article introduces an automated image matching technique called Scale Invariant Feature Transform (SIFT) as a tool to supplement the collation of problematic cuneiform signs. The Nabonidus Chronicle (II, 16), which ...
Improving skeletal shape abstraction using multiple optimal solutions
(Elsevier, 2015-11)
Shape abstraction is an important problem faced by researchers in many fields such as pattern recognition, computer vision, and industrial design. A recently-developed previous shape abstraction framework (Demirci et al. ...
Cifar-10 Image Classification with Convolutional Neural Networks For Embedded Systems
(IEEE, 2018)
Convolutional Neural Networks (CNN) have been successfully applied to image classification problems.Although powerful, they require a large amount of memory. The purpose of this paper is to perform image classification ...
Skeleton Filling Rate for Shape Recognition
(IEEE Computer SOC, 2014)
As an increasing number of digital images are generated, a demand for an efficient and effective image retrieval mechanisms grows. In this work, we present a new skeleton-based shape retrieval algorithm, which starts by ...
Comparison of Three Different CNN Architectures for Age Classification
(IEEE, 2017)
As one of the powerful tools of machine learning, Convolutional Neural Network (CNN) architectures are used to solve complex problems like image recognition, video analysis and natural language processing. In this paper, ...
3D Shape Recognition: Enhanced Skeletal Points
(IEEE, 2015)
Digital video production is increasing day after day and the effectiveness and efficiency of the image recognition mechanism has became increasingly important. In this study, a new skeleton-based shape recognition algorithm, ...
Efficient Shape Recognition with Skeleton Filling Rate
(IEEE, 2014)
As an increasing number of digital images are generated, a demand for an efficient and effective image retrieval mechanisms grows. In this work, we present a new skeleton-based shape retrieval algorithm, which starts by ...
Efficient Near-duplicate Image Detection with Created Feature Subset
(IEEE, 2016)
The creation of distinctive subset of the interest points for near-duplicate image detection is significant in two terms. The former is that the query time decreases reasonably. The latter is that using the distinctive ...
