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Now showing items 11-19 of 19
A probabilistic measure of similarity for latent fingerprints
(2013)
In forensics a latent print is a mark left on a surface by a human friction ridge pattern such as a fingerprint. The task of latent print examination involves comparing a latent print to a known (or exemplar) print. Latent ...
Intuitive interface for conceptual 3D modeling
(2015)
The standard CAD tools allow great degree of control in 3D shape creation by requiring the user to specify exact shape parameters in a highly structured manner. However, that structure requires long training and familiarization ...
Hierarchical and Dynamic-Relational Models for Handwriting Recognition
(2015)
The recent growth and ubiquity of mobile touchscreen devices has rejuvenated research in digital (online) handwriting recognition. However, this renewed focus has also led to a shift from classic constrained domains such ...
Vision-augmented home-based stroke rehabilitation device
(2015)
The purpose of this paper is to highlight the key role that computer vision and graphics play in the implementation and deployment of a novel and innovative assistive technology, aimed at significantly improving compliance ...
Systematic trends in results from different density functional theory models
(2015)
The quantum mechanical properties of molecular and condensed matter systems are commonly calculated using Kohn-Sham density functional theory (DFT). Its favorable balance of accuracy and computational cost has made DFT the ...
Accents in Handwriting: A Hierarchical Bayesian Approach to Handwriting Analysis
(2015)
The individuality of handwriting has been studied extensively in the handwriting analysis domain. An individual's handwriting is believed to be influenced by genetic and cultural factors. Genetic factors include pen grip ...
Comparative Study of Feature-Selective Sliding Window Object Detectors in Images
(2012)
Object detection in 2 D images remains a key challenge in computer vision. There are many different machine learning and feature extraction algorithms available. As there is no free lunch , we have no complete understanding ...
3D Mesh Segmentation with SVM and Boundary Correction
(2016)
Segmentation and labeling of 3D shapes into meaningful parts is fundamental to shape understanding and processing. This problem has wide application like geometric modeling, manufacturing, animation and texturing of 3D ...
Metadata Analysis in Unstructured Documents Using Classical and Deep Learning Methods
(2017)
Metadata by definition is any set of data that describes and provides information about other data. Specifically, document metadata entails any information that can better represent, or guide in the improved understanding ...