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About 10,000 papers for “Morphing”

Morphing

Bulletin of Miscellaneous Information (Royal Gardens Kew)

Cited by 0

Morphing

Fabio Cleto · Aisberg (University of Bergamo) · 2009

Cited by 0

Morphing

Squaresoft · Bulletin of Miscellaneous Information (Royal Gardens Kew)

Cited by 0

morphing

SpringerReference · 2011

Cited by 0

morphing

Martin H. Weik · 2000

Cited by 0

Morphing

Stanley Rachman, Anna Coughtrey, Roz Shafran et al. · Oxford University Press eBooks · 2014

Abstract In some cases of mental contamination the patient fears that proximity of “disreputable” people, mostly living on the fringes of the community, will be contaminating and damaging; they will be tainted and suffer changes in personality. In extreme cases the patient fears that he/she might be transformed into the disreputable person (e.g., drug addict, alcoholic, criminal, people with serious mental illness). The mere sight of a disreputable person can provoke strong feelings of contamination (visual contamination). The feelings drive extensive avoidance behavior and compulsive cleaning, and some patients develop an (imaginal) protective screen or bubble (e.g., a blue shield) to prevent the contamination from entering their mind. The treatment is cognitive behavior therapy, supplemented by planned exposures to people and places that might be contaminating. The treatment includes a major use of behavioral experiments repeatedly to demonstrate that the sight/proximity of feared people does not produce changes in personality. Treated cases are described.

Cited by 0

Morphing

BL Render · Elsevier eBooks · 2003

Cited by 0

Morphing Airfoils with Four Morphing Parameters

Amanda Lampton, Adam Niksch, John Valasek · AIAA Guidance, Navigation and Control Conference and Exhibit · 2008

An episodic unsupervised learning simulation using the Q-Learning method is developed to learn the optimal shape and shape change policy for a problem with four state variables. Optimality is addressed by reward functions based on airfoil properties such as lift coecient, drag coecient, and moment coecient about the leading edge representing optimal shapes for specified flight conditions. The reinforcement learning as it is applied to morphing is integrated with a computational model of an airfoil. The methodology is demonstrated with numerical examples of a NACA type airfoil that autonomously morphs in four degrees-of-freedom, thickness, camber, location of maximum camber, and airfoil angle-of-attack, to a shape that corresponds to specified goal requirements. Although nonunique shapes can satisfy the aerodynamic requirements, the results presented in this paper show that this methodology is capable of learning the range of acceptable shapes for a given set of requirements. Also shown is that the agent can use its knowledge to change from one shape to another to satisfy a series of requirements with a probability of success between 92% 96%. This ability is analogous to an aircraft transitioning from one flight phase to another.

Cited by 22

Face Morphing and Morphing Attack Detection

Ulrich Scherhag · TUbilio (Technical University of Darmstadt) · 2021

In modern society, biometrics is gaining more and more importance, driven by the increase in recognition performance of the systems. In some areas, such as automatic border controls, there is no alternative to the application of biometric systems. Despite all the advantages of biometric systems, the vulnerability of these still poses a problem. Facial recognition systems for example offer various attack points, like faces printed on paper or silicone masks. Besides the long known and well researched presentation attacks there is also the danger of the so-called morphing attack. The research field of morphing attacks is quite young, which is why it has only been investigated to a limited extent so far. Publications proposing algorithms for the detection of morphing attacks often lack uniform databases and evaluation methods, which leads to a restricted comparability of the previously published work. Thus, the focus of this thesis is the comprehensive analysis of different features and classifiers in their suitability as algorithms for the detection of morphing attacks. In this context, evaluations are performed with uniform metrics on a realistic morphing database, allowing the simulation of various realistic scenarios. If only the suspected morph is available, a HOG feature extraction in combination with an SVM is able to detect morphs with a D-EER ranging from 13.25% to 24.05%. If a trusted live capture image is available in addition, for example from a border gate, the deep ArcFace features in combination with an SVM can detect morphs with a D-EER ranging from 2.71% to 7.17%.

Cited by 3Open access

GamePlay Morphing

Planes Camprodon, Roger, Universitat Autònoma de Barcelona. Escola d'Enginyeria · Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) · 2010

Aquest document conté originàriament altre material i/o programari només consultable a la Biblioteca de Ciència i Tecnologia.

Cited by 0Open access

Voice morphing

Sowmya Uthirapathi · DR-NTU (Nanyang Technological University) · 2011

Cited by 0

Emotional morphing

Lim, Jun Hao · DR-NTU (Nanyang Technological University) · 2018

Deep Learning has been on the rise for the past decade, and Generative Adversarial Networks (GANs), one of the deep learning models, had experienced exceptional successes across numerous fields, especially computer vision. With facial images as one of the most commonly used data in computer vision, the project focuses on the morphing of facial images from one emotion to another using deep learning networks.
\nCycleGAN, a deep learning model based on GANs, focuses on translating images from one style to another. This project seeks to better understand the architectural structure of CycleGAN and to make use of it for emotion morphing.
\nThe project also researched on the implementations of spectral normalisation in CycleGAN. Two new version of CycleGANs are implemented in this project and specified data are sorted from existing datasets and used for testing. The results of these new versions will be analysed with the results from the original CycleGAN as baseline. Results from the experiment show that both versions of CycleGAN implemented with the spectral normalisation has a faster speed of convergence and produce more realistic images.

Cited by 0

Morphing Dots

Bernie Lee · Bulletin of Miscellaneous Information (Royal Gardens Kew)

This is just a little file I created in Photoshop and Windows Movie Maker. Great for video remixes. Public domain. Please leave feedback to let me know if you use it in a video. If there is enough interest I will make several more clips for everyone. This is my way of putting back into the public domain for all the things others have given me. Sorry, but I don't have any other format to offer but wmv. Enjoy and look for my other stock footage by searching for pixiecherries!

Cited by 0

Voice Morphing

Orphanidou, Christina · OpenGrey (Institut de l'Information Scientifique et Technique) · 2007

Voice Morphing is the process of modifying a source speaker's speech so that it is perceived as if uttered by a target speaker. The numerous applications of this technology have made it a very popular research topic with most approaches focusing on transforming the spectral envelope of the source speaker to match that of the target speaker. This is usually achieved by estimating a transformation function from parallel training data from the two speakers. However, the current applications suffer from loss of spectral detail during synthesis of the morphed speech, often attributed to the low dimensional representations of the acoustic models used for extracting the acoustic features. We propose a new Multiresolution Voice Morphing Algorithm (MVMA) which uses the Discrete Wavelet Transform (DWT) for modeling the shortterm and long-term acoustic properties of speech and estimates a transformation function at each sub-band by means of a Radial Basis Function (RBF) neural network. The proposed system is evaluated objectively and subjectively using parallel and non-parallel training data. The tests show that the proposed approach effectively transforms speaker identity even though perceivable artifacts still exist in the transformed speech.

Cited by 0

Continual Morphing

Lee Haring · Project Muse (Johns Hopkins University) · 2004

Cited by 0Open access

morphing, n.

Oxford University Press eBooks · 2023

Cited by 0