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Chaos and fractals - new frontiers of science
TLDR
This book discusses Fractal Image Compression, the Causality Principle, Deterministic Laws and Chaos, and the Backbone of Fractals. Expand
3D Model Retrieval
TLDR
A content-based 3D model retrieval system has been implemented and this system is presented here where the proposed feature vector is invariant with respect to translation, rotation and uniform scaling. Expand
Algorithms for random fractals
For about 200 years now mathematicians have developed the theory of smooth curves and surfaces in two, three or higher dimensions. These are curves and surfaces that globally may have a veryExpand
Tools for 3D-object retrieval: Karhunen-Loeve transform and spherical harmonics
We present tools for 3D object retrieval in which a model, a polygonal mesh, serves as a query and similar objects are retrieved from a collection of 3D objects. Algorithms proceed first by aExpand
KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment
TLDR
This work presents a systematic and scalable approach to creating KonIQ-10k, the largest IQA dataset to date, consisting of 10,073 quality scored images, and proposes a novel, deep learning model (KonCept512), to show an excellent generalization beyond the test set. Expand
The Konstanz natural video database (KoNViD-1k)
TLDR
KoNViD-1k is reported on, a subjectively annotated VQA database consisting of 1,200 public-domain video sequences, fairly sampled from a large public video dataset, YFCC100m, aimed at ‘in the wild’ authentic distortions. Expand
KADID-10k: A Large-scale Artificially Distorted IQA Database
TLDR
It is believed that the annotated set KADID-10k, together with the unlabelled set K ADIS-700k, can enable the full potential of deep learning based IQA methods by means of weakly-supervised learning. Expand
3D Model Retrieval with Spherical Harmonics and Moments
TLDR
This work considers 3D object retrieval in which a polygonal mesh serves as a query and similar objects are retrieved from a collection of 3D objects, and compares two kinds of representations of this function, namely spherical harmonics and moments. Expand
Feature-based similarity search in 3D object databases
TLDR
A survey of feature-based methods for 3D retrieval, and a taxonomy for these methods is proposed, which describes the aspects that constitute the similarity among 3D objects and designs algorithms that implement such similarity definitions. Expand
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