Performance evaluation of 3D computer vision techniques

This work presents the implementation and comparison of three different techniques of three-dimensional computer vision as follows: • Stereo vision - correlation between two 2D images • Sensorial fusion - use of different sensors: camera 2D + ultrasound sensor (1D); • Structured light The computer vision techniques herein presented took into consideration the following characteristics: • Computational effort ( elapsed time for obtain the 3D information); • Influence of environmental conditions (noise due to a non uniform lighting, overlighting and shades); • The cost of the infrastructure for each technique; • Analysis of uncertainties, precision and accuracy. The option of using the Matlab software, version 5.1, for algorithm implementation of the three techniques was due to the simplicity of their commands, programming and debugging. Besides, this software is well known and used by the academic community, allowing the results of this work to be obtained and verified. Examples of three-dimensional vision applied to robotic assembling tasks ("pick-and-place") are presented.

O ritmo na queda da desigualdade no Brasil é aceitável?

The rhythm in the fall of inequality in Brazil is acceptable? Evidences of the historical and international context. The following study uses two approaches to answer the question of whether inequality in Brazil is falling fast enough. The first is to compare the variation of the Gini coefficient in Brazil with what was observed in several countries that today belong to the OCDE (United Kingdom, United States, Netherlands, Sweden, France, Norway, and Spain) while these same countries built their social welfare systems during the last century. The second approach is to calculate for how much Brazil must keep up the fall in the Gini coefficient to attain the same levels of inequality of three OCDE countries that can be used as a reference: Mexico, the United States, and Canada. The data indicate that the Gini coefficient in Brazil is falling 0.7 point per year and that this is superior to the rhythm of all the OCDE countries analyzed while they built their welfare systems but Spain, whose Gini fell 0.9 point per year during the 1950s. The time needed to attain various benchmarks in inequality are: 6 years to Mexico, 12 to the United States and 24 to Canadian inequality levels. The general conclusion is that the speed with which inequality is falling is adequate, but the challenge will be to keep inequality falling at the same rate for another two or three decades.