This seminar aim to extract ear shape features for recognition Active Shape Models (ASMs) is applied to model the shape and local appearance of the ear in a statistical manner. In addition, steerable features are extracted from the ear image ahead of ASMs. Steerable features encode rich discriminate information of the local structural texture and provide accurate guidance for shape location. Eigenearshape is used for final classification. Experiments on an ear database show an encouraging performanc ....etc

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Composites of shape memory alloys (SMA) with a matrix have been widely studied to suppress the propagation of damage. In these studies, the SMA is used as an actuator. A multi-functional SMA as both sensor and actuator is suitable for constructing intelligent material, such as a material with a sensing and suppressing function. The damage of materials is related to the amount of strain. We studied the use of SMA wire parts as sensors to measure the amount of strain for damage estimation. The acoustic emission (AE) signals induced by phase tran ....etc

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Abstract—Existing distance measures of time series such as the euclidean distance, DTW, and EDR are inadequate in handling certain degrees of amplitude shifting and scaling variances of data items. We propose a novel distance measure of time series, Spatial Assembling Distance (SpADe), that is able to handle noisy, shifting, and scaling in both temporal and amplitude dimensions. We further apply the SpADe to the application of streaming pattern detection, which is very useful in trend-related analysis, sensor networks, and video surveillance. ....etc

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Abstract
The ear is a promising candidate for biometric identification. However, in prior work, the pre-processing of ear images has had manual steps, and algorithms have not neces- sarily handled problems caused by hair and earrings. This seminar present a complete system for ear biometrics, including automated segmentation of the ear in a profile view image and 3D shape matching for recog- nition. and evaluated this system with the largest experimental study to date in ear biometrics, achieving a rank-one recognition rate of 97.6%.for ear ....etc

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i want to see the matlab shape detection code,can u show me? ....etc

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Novel shape memory effect (SME) and pseudoelastic behavior are discovered in single-crystalline Au, Cu, and Ni nanowires with lateral dimensions of 1.5-10 nm. Under tensile loading and unloading, these wires can recover elongations of up to 50%, well beyond the recoverable strains of 5-8% typical for most bulk shape memory alloys (SMAs). Results of atomistic simulations and evidences from experiments show that this phenomenon only exists at the nanometer scale and is associated with a reversible crystallographic lattice reorientation driven byt ....etc

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Abstract:
A coupled statistical model can be used to recover facial shape from brightness
images of faces. This project is a software tool that helps a user to recover the face from
the given input image. The input image may be either dark or bright image, where the
image is not so clear to identify. This tool is mainly aimed for the users, who are in need
to identify the face hidden in the input image, if present.
We achieve this by capturing variations in intensity and the surface shape
representations using a coupled statistical model ....etc

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Novel shape memory effect (SME) and pseudoelastic behavior are discovered in single-crystalline Au, Cu, and Ni nanowires with lateral dimensions of 1.5-10 nm. Under tensile loading and unloading, these wires can recover elongations of up to 50%, well beyond the recoverable strains of 5-8% typical for most bulk shape memory alloys (SMAs). Results of atomistic simulations and evidences from experiments show that this phenomenon only exists at the nanometer scale and is associated with a reversible crystallographic lattice reorientation driven byt ....etc

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SHAPE MEMORY ALLOYS
Introduction
Shape memory alloys (SMA's) are metals, which exhibit two very unique properties, pseudo-elasticity, and the shape memory effect. Arne Olander first observed these unusual properties in 1938 (Oksuta and Wayman 1998), but not until the 1960's were any serious research advances made in the field of shape memory alloys. The most effective and widely used alloys include NiTi (Nickel - Titanium), CuZnAl, and CuAlNi.
The two unique properties described above are made possi ....etc

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Presnted By:
Rajesh Grandhi
Matriculation .no: 0861090

by:
Prof. Dr.-Ing. K. Kyamakya


SHAPE DETECTION BASED MULTI TRACKING
(KALMAN FILTER)

Abstract:
This paper introduces a detection of a wheel from particular frames of video. Detection is done by two approaches, first approach is through the pixel changing and the second approach is through Haar-Like feature. Here the detection is done with the help of Haar-Like featureâ„¢s and by using adaboost boosting techquies the detection process is been ....etc

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