Six scales and four orientations are implemented to extract features from face images. The image filtering is performed in the frequency domain because it is faster compared with the spacial domain convolution. The optimum features are selected based on mutual information. If a feature vector is strongly different from other features, their mutual information will be large. The polar form of 2-D Log-Gabor filters in frequency domain is given by, H(f,θ)=exp{〖-[ln(f/f_0 ) ]〗^2/〖2[ln(σ_f/f_0 ) ]〗^ } exp{(-(θ-θ_0 )^2)/(2σ_θ^2 )} [10] where H( f, θ) is the frequency response function of the 2-D Log-Gabor filters, f and θ denote the frequency and the phase/angle of the filter, respectively, f0 is the filter’s center frequency and θ0 the filter’s direction.
Encoding In this method, researcher translates the information gathered from diversified people into own understandable language. This method is useful in the beginning of communication research; it is also useful in the intermediate stages. Moreover, It is also beneficial in limiting the cues (Mehrabian, 2007). Depth Interview It is the technique in which personal views and opinions of people on the research topic is identified. It is used to do the need assessment, issue identification, strategic planning etc (Jones, 2003).
Since this correlation is the test retest you can obtain considerable different estimates depending on the time gap. The next is parallel form you first have to create two parallel forms. One way to accomplish this is to create large sets of questions which address the same subject and then randomly divide the questions into two sets. You give both sets of questions to the same people. The correlation between the two parallel forms is the estimate of reliability.
When a test subject is asked to locate a red dot in a background of green, attention is immediately focused on the red dot, this first stage of attention processing is called a feature search (Neisser, 1967. cited in Wolfe, Cave & Franzel 1989). Treismans’ et al. (1980) theory states that only basic features such as colour, size and orientation could be located effortlessly in parallel over an entire visual field. The theory goes on to say that all other stimuli require a serial search. A serial search is required for targets defined by conjunctions of basic features.
This resolution enhancement can be done through multiscale approach. The image pyramid 133 offers a flexible and convenient multi-resolution format that mirrors the multiple scales of processing in the human visual system. In the first model, the coupled PDE is applied in Laplacian pyramid domain and is referred Laplacian pyramid based permutated diffusion (LPPD). In this model an image is transformed into its Laplacian pyramid domain, and the pyramid coefficients are manipulated by regularized permutated diffusion, finally, an image is reconstructed from the diffused Laplacian pyramid. The LPPD method is mainly focused on producing simplified ultrasound images for subsequent computer-assisted image analysis such as automatic or semiautomatic segmentation and registration, although it can also provide a visual diagnostic aid for clinicians to interpret ultrasound images.
Explain the principles of effective verbal communications in a business environment. Verbal communication is something we do on a daily basis verbal communications provides more opportunity for getting and keeping interest and attention. It's easier to get feedback by observing facial expressions (and other nonverbal behaviour) and asking questions. It can also provide more opportunity for both the sender and the receiver to let off steam, cool down, and create a suitable climate for understanding. It can provide more flexibility, opportunity for emphasis, chance to listen, and opportunity to remove resistance and change attitudes.
The method of loci is a method of memory enhancement which uses visualisation of specific path at a familiar location, to organise and recall large amounts of information (Legge, Madan, Ng & Caplan, 2012). Moe and De Beni (2005) comprehensively redefined the method of loci in 3 applications, which involved (1) appointing and memorising a series of diverse loci along a familiar pathway; (2) forming an image for each item to be remembered, and (3) placing images of the items in the preferred loci. Comparing different methods of loci has been the subject of many studies in the past (De Beni & Cornoldi, 1985; Legge et al., 2012; Moe & De Beni 2005; Roediger, 1980), trying to determine what method is more effective and in some studies it was proven that some methods are superior to others (Moe & De Beni,
In order to spot key gestures accurately, a sophisticated method of designing a transition gesture model is proposed. To reduce the states of the transition gesture model, model reduction which merges similar states based on data-dependent statistics and relative entropy is used. The experimental results demonstrate that the proposed method can be efficient and effective in HRI, for automatic recognition of whole-body key gestures from motion sequences. Index Terms—Gesture spotting, hidden Markov model (HMM), human–robot interaction (HRI), mobile robot, transition gesture model, whole-body gesture recognition. I.
ABSTRACT Biometrics terms the special physiological or behavioral portrayal of human beings to distinguish individuality of individuals. Biometric systems are more helpful for identification and authentication uses. In all recognition cases, a database is necessary to store a set of individuals with biometric features. Biometric Recognition method supports a greater recognition rate, superior effectiveness and makes the user operating more comfortable. Biometric based authentication system is used widely in beneficial and ruling enforcement demands.
The letters tell you about the number of dimensions of the representation (dimensions are the characters under E on the character table). A means 1D (E = 1) and symmetric (positive value) when rotating along the principal axis. B means 1D (E = 1) and asymmetric (negative value) when rotating along the principal axis. E means 2D (E = 2) T means 3D (E = 3) 1 The subscripts and superscripts tell you about the symmetry of the reps with