Shape of optimal active flagella

Active Shape Models with Invariant Optimal Features (IOF-ASMs)

This paper is framed in the field of statistical face analysis. In particular, the problem of accurate segmentation of prominent features of the face in frontal view images is addressed. Our method constitutes an extension of Cootes et al. [6] linear Active Shape Model (ASM) approach, which has already been used in this task [9]. The technique is built upon the development of a non-linear appea...

Variation in shape and arrangement of bacterial flagella.

Few studies have been reported in the literature on variation in shape and arrangement of the flagella on bacteria. Leifson (1951) reported a shape variation of the flagella of Salmonella wichita. The variant showed twice the humber of curves per unit length compared to the parent strain. In the same publication Leifson also reported a monotrichous organism which produced filamentous variants s...

Optimal Selection of Active Suspension Parameters Using Artificial Intelligence

In this paper, multi-objective uniform-diversity genetic algorithm (MUGA) with a diversity preserving mechanism called the ε-elimination algorithm is used for Pareto optimization of 5-degree of freedom vehicle vibration model considering the five conflicting functions simultaneously. The important conflicting objective functions that have been considered in this work are, namely, vertical accel...

Shape-Measure Method for Solving Elliptic Optimal Shape Problems (Fixed Control Case)

Multi-Shape - Hierarchical Active Shape Models

Active Shape Models (ASMs) have become one of the most widespread segmentation paradigms since their inception in the early nineties. However, their capability to capture and model the shapes’ variability is highly conditioned by the training set used. Trying to overcome this limitation, this paper presents a new hierarchical formulation of classical ASMs. Using the wavelet transform, a new com...