ϕ\phi photoproduction on the proton at EγE_{\gamma} = 1.5 - 2.9 GeV

Differential cross sections at $t=t_{\text{min}}$ and decay asymmetries for the $\gamma p\rightarrow\phi p$ reaction have been measured using linearly polarized photons in the range 1.5 to 2.9 GeV. These cross sections were used to determine the Pomeron strength factor. The cross sections and decay asymmetries are consistently described by the $t$-channel Pomeron and pseudoscalar exchange model in the $E_{\gamma}$ region above 2.37 GeV. In the lower energy region, an excess over the model prediction is observed in the energy dependence of the differential cross sections at $t=t_{\text{min}}$. This observation suggests that additional processes or interference effects between Pomeron exchange and other processes appear near the threshold region.Comment: 6 pages, 7 figure

Impacto del sistema general de preferencias sobre los productos agroindustriales y pesqueros exportados por el Perú a Japón (1996-2005)

This paper studies how Peru was benefi ted from Japan’s Generalized System of Preferences (GSP) between 1996 and 2005. For this purpose, we are including an econometric model which proves the effects of Japan’s GDP, the variation in the wholesale price index in Peru, the GSP ratio and the trade indicator on non-traditional exports between both countries. This research is mainly focused on analyzing the behavior of agro-industrial and fi shery products benefi ted from the GSP, through statistic charts displaying the trends in non-traditional trade. A survey was conducted among to the sixty largest exporters to Japan to determine the awareness and spreading of this tariff benefi t system among Peruvian exporters of non-traditional products. To enhance this paper, we provide a matrix of potentials with a classifi cation of Peruvian products exported to Japan in order to identify those that Peru might export according to demand.</jats:p

3D Hand Pose Estimation Using a Single Camera for Unspecified Users

The three-dimensional hand pose estimation this paper proposes uses a single camera to search a large database for the hand image most similar to the data input. It starts with coarse screening of proportional information on hand images roughly corresponding to forearm or hand rotation, or thumb or finger bending. Next, a detailed search is made for similarity among selected candidates. No separate processes were used to estimate corresponding joint angles when describing wrist’s rotation, flexion/extension, and abduction/adduction motions. By estimating sequential hand images this way, we estimated joint angle estimation error within several degrees - even when the wrist was freely rotating - within 80 fps using only a Notebook PC and high-speed camera, regardless of hand size and shape.</jats:p

Wearable Device for High-Speed Hand Pose Estimation with a Ultrasmall Camera

&lt;div class=""abs_img""&gt; &lt;img src=""[disp_template_path]/JRM/abst-image/00270002/06.jpg"" width=""300"" /&gt; Hand pose estimation with ultrasmall camera&lt;/div&gt; Operating a robot intentionally by using various complex motions of the hands and fingers requires a system that accurately detects hand and finger motions at high speed. This study uses an ultrasmall camera and compact computer for development of a wearable device of hand pose estimation, also called a hand-capture device. The accurate estimations, however, require data matching with a large database. But a compact computer usually has only limited memory and low machine power. We avoided this problem by reducing frequently used image characteristics from 1,600 dimensions to 64 dimensions of characteristic quantities. This saved on memory and lowered computational cost while achieving high accuracy and speed. To enable an operator to wear the device comfortably, the camera was placed as close to the back of the hand as possible to enable hand pose estimation from hand images without fingertips. A prototype device with a compact computer used to evaluate performance indicated that the device achieved high-speed estimation. Estimation accuracy was 2.32°±14.61° at the PIP joint of the index finger and 3.06°±10.56° at the CM joint of the thumb – as accurate as obtained using previous methods. This indicated that dimensional compression of image-characteristic quantities is important for realizing a compact hand-capture device. &lt;/span&gt;</jats:p

Gesture-World Environment Technology for Mobile Manipulation – Remote Control System of a Robot with Hand Pose Estimation –

The purpose of this paper is to propose a remotecontrolled robot system capable of accurate highspeed performance of the same operation strictly conforming to human operator movement without sensors or special control means. We specifically intend to implement high-precision high-speed 3D hand pose estimation enabling a remote-controlled robot to be operated using two cameras installed loosely orthogonally using one ordinary PC. The two cameras have their own database. Once sequential hand images are shot at high speed, the system starts selecting one database with bigger size of hand region in each recorded image. Coarse screening then proceeds based on proportional hand image information roughly corresponding to wrist rotation or thumb or finger extension. Finally, a detailed search is done for similarity among selected candidates. Experiments show that mean and standard deviation scores of errors in estimated angles at the proximal interphalangeal (PIP) index are 0.45 ± 14.57 and at the carpometacarpal (CM) thumb 4.7 ± 10.82, respectively, indicating it as a high-precision 3D hand pose estimation. Remote control of a robot with the proposed vision system shows high performance as well.</jats:p