Predicting accurately and in real-time 3D body joint positions from a depth image is the cornerstone for many safety, biomedical, and entertainment applications. Despite the high quality of the depth images, the accuracy of existing human pose estimation methods from single depth images remains insufficient for some applications. In order to enhance the accuracy, we suggest to leverage a rough ...

In this paper we illustrate the use of the Beckmann-Kirchhoff model for analysing rough surface reflectance. The Beckmann-Kirchhoff model is a physical model that describes the reflectance of light from rough surfaces. The parameter of the model is the surface slope, or ratio of the surface roughness to the correlation length. We show how this parameter may be estimated using pairs of surface i...

abstract since about 34% of areas under rice cultivation in whole country is attributed to gilan; in this study we pay attention to some economical dimensions, especially economic values of inputs in this region. data were collected from 80 rice producers in 2007-2008. consider to importance the parametric approach in production structure and factors demand, applying seemingly unrelated regress...

This paper assesses the synergy of RADARSAT and ENVISAT data for rice monitoring. Crop growth profile derived from the analysis of temporal backscatter of RADARSAT SCNB (July-August) and ENVISAT of IS4 and IS5 (September-November) enables to classify early, normal and late sown crop with 10-12 dB difference throughout the growth cycle. An inversion algorithm relating backscatter and plant heigh...

The wetting of rough surfaces remains a subject of active investigation by scientists. The contact angle (CA) is a traditional parameter used to characterize the hydrophobicity/philicity of a solid surface. However, it was found recently that high CAs can coexist with strong adhesion between water and a solid surface in the case of the so-called 'rose petal effect'. Several additional parameter...

Rice growth monitoring is very important as rice is one of the staple crops of the world. Rice variables as quantitative indicators of rice growth are critical for farming management and yield estimation, and synthetic aperture radar (SAR) has great advantages for monitoring rice variables due to its all-weather observation capability. In this study, eight temporal RADARSAT-2 full-polarimetric ...