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Article
Open AccessContent and composition of essential oil and content of rosmarinic acid in lemon balm and balm genotypes (Melissa officinalis)
Lemon balm (Melissa officinalis L.) is used since ancient times because of its sedative, spasmolytic and antiviral effects. Its therapeutic impact is due to the content of essential oil and rosmarinic acid. A set...
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Article
Evaluation of 28 balm and lemon balm (Melissa officinalis) accessions for content and composition of essential oil and content of rosmarinic acid
Lemon balm (Melissa officinalis L.) is a well-known aromatic and medicinal plant. Because of its proven sedative, spasmolytic and antiviral effects, it is often used in watery or alcoholic extracts for self-medic...
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Article
Open AccessChromosome number and ploidy level of balm (Melissa officinalis)
Lemon balm (Melissa officinalis L.) is of increasing importance resulting in rising growth area. Improved knowledge on the genome structure, number of chromosomes in connection with the taxonomical structure of b...
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Chapter
Anomaly Detection and Knowledge Transfer in Automatic Sports Video Annotation
A key question in machine perception is how to adaptively build upon existing capabilities so as to permit novel functionalities. Implicit in this are the notions of anomaly detection and learning transfer. A per...
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Chapter and Conference Paper
The University of Surrey Visual Concept Detection System at ImageCLEF@ICPR: Working Notes
Visual concept detection is one of the most important tasks in image and video indexing. This paper describes our system in the ImageCLEF@ICPR Visual Concept Detection Task which ranked first for large-scale visu...
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Chapter and Conference Paper
Robust Statistical Estimation Applied to Automatic Lip Segmentation
Automatic lip segmentation is an indispensable pre-requisite in face-video applications that make use of the mouth-region. Lip segmentation can be treated as a three-stage process: mouth-region detection, sepa...
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Chapter and Conference Paper
Lip Contour Segmentation Using Kernel Methods and Level Sets
This paper proposes a novel method for segmenting lips from face images or video sequences. A non-linear learning method in the form of an SVM classifier is trained to recognise lip colour over a variety of fa...
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Chapter
3D Assisted Face Recognition: A Survey
3D face recognition has lately been attracting ever increasing attention. In this chapter we review the full spectrum of 3D face processing technology, from sensing to recognition. The review covers 3D face mo...
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Chapter and Conference Paper
Multiple Classifier Fusion Performance in Networked Stochastic Vector Quantisers
We detail an exploratory experiment aimed at determining the performance of stochastic vector quantisation as a purely fusion methodology, in contrast to its performance as a composite classification/fusion me...
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Chapter and Conference Paper
Unsupervised Symbol Grounding and Cognitive Bootstrap** in Cognitive Vision
In conventional computer vision systems symbol grounding is invariably established via supervised learning. We investigate unsupervised symbol grounding mechanisms that rely on perception action coupling. The ...
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Chapter and Conference Paper
Object Evidence Extraction Using Simple Gabor Features and Statistical Ranking
Several novel methods based on locally extracted object features and spatial constellation models have recently been introduced for invariant object detection and recognition. The accuracy and reliability of t...
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Chapter and Conference Paper
3D Assisted 2D Face Recognition: Methodology
We address the problem of pose and illumination invariance in face recognition and propose to use explicit 3D model and variants of existing algorithms for both pose [Fit01, MSCA04] and illumination normalizat...
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Chapter and Conference Paper
A Memory Architecture and Contextual Reasoning Framework for Cognitive Vision
One of the key requirements for a cognitive vision system to support reasoning is the possession of an effective mechanism to exploit context both for scene interpretation and for action planning. Context can ...
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Chapter and Conference Paper
A Comparative Study of Automatic Face Verification Algorithms on the BANCA Database
The performance of different face identity verification methods on BANCA database is compared. As part of the comparison, we investigate the effect of representation on different approaches to face verificatio...
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Chapter and Conference Paper
Hypotheses-Driven Affine Invariant Localization of Faces in Verification Systems
We propose a novel framework for localizing human faces in client authentication scenarios based on correspondences between triplets of detected Gabor-based local features and their counterparts in a generic a...
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Chapter and Conference Paper
On the General Application of the Tomographic Classifier Fusion Methodology
We have previously (MCS2001) presented a mathematical metaphor setting out an equivalence between multiple expert fusion and the process of tomographic reconstruction familiar from medical imaging. However, th...
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Chapter and Conference Paper
Decision Level Fusion of Intramodal Personal Identity Verification Experts
We investigate the Behavior Knowledge Space [4] and Decision Templates [7] methods of classifier fusion in the context of personal identity verification involving six intramodal experts exploiting frontal face bi...
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Chapter and Conference Paper
Improving Product by Moderating k-NN Classifiers
The veto effect caused by contradicting experts outputting zero probability estimates leads to fusion strategies performing sub optimally. This can be resolved using Moderation. The Moderation formula is deriv...
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Chapter and Conference Paper
Relationship of Sum and Vote Fusion Strategies
Amidst the conflicting evidence of superiority of one over the other, we investigate the Sum and majority Vote combining rules for the two class case at a single point. We show analytically that, for Gaussian ...
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Chapter and Conference Paper
Classifier Combination as a Tomographic Process
A mathematical analogy between the process of multiple expert fusion and the tomographic reconstruction of Radon integral data is outlined for the specific instance of the combination of classifiers containing...
