In this paper we build 3D models of rigid bodies from video sequences. The algorithm we use is simple and robust. It recovers the 3D shape parameters and the 3D motion parameters by first estimating the parameters of the induced optical flow representation. To estimate the 3D shape and 3D motion from the optical flow, we use a fast algorithm that is based on the factorization of a matrix that i...

We present a novel parameterization-independent exposition of the thirdorder geometric behavior of a surface point. Unlike existing algebraic expositions, our work produces an intuitive explanation of third-order shape, analogous to the principal curvatures and directions that describe secondorder shape. We extract four parameters that provide a quick and concise understanding of the third-orde...

Development of autonomous underwater vehicles (AUVs) which meets the design constraints and provides the best hydrodynamic performance is really an important challenge in the field of hydrodynamics. In this paper a new profile is used for designing the hull of AUVs. The nose and tail profiles of an AUV using presented profile is designed such that it can properly consider the length constraints...

the aim of this work is to find an efficient aerodynamic-based design algorithm for projectile fins and configuration shape optimization. three-dimensional supersonic flow over a projectile with fins at much number 5 and one degree angle of attack was studied. the runge-kutta method and multi-block technique was used to solve the governing equations. a basic configuration was assumed for the fi...

Using the ARGUS detector at the e+e storage ring DORIS II, we have measured the Michel parameters , , and for ! l  decays in -pair events produced at center of mass energies in the region of the resonances. Using ! as spin analyzing tags, we nd e = 0:68 0:04 0:08, e = 1:12 0:20 0:09, e = 0:57 0:14 0:07, = 0:69 0:06 0:08, = 1:25 0:27 0:14 and = 0:72 0:18 0:10. In addition, we report the combine...

In the presence of nuisance parameters, we derive an explicit higher order asymptotic formula to compare the expected lengths of conndence intervals given by likelihood ratio statistics arising from the usual proole likelihood and various adjustments thereof. Highest posterior density regions, with approximate frequentist validity, are also included in the study.