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Tactile recognition enables robots identify target objects or environments from tactile sensory readings. The recent advancement of deep learning and biological tactile sensing inspire us proposing an end-to-end architecture ROTConvPCE-mv that performs tactile recognition using residual orthogonal tiling and pyramid convolution ensemble. Our approach uses stacks of raw frames and tactile flow as dual...
The goal of region proposal approaches is to decrease the hunting zone for classifiers. An innovative objectness measure that combines several characteristics of proposals in a Bayesian framework is explicitly presented in this paper. We try to use Bayesian to respectively integrate four different features of proposals, and employ the posterior probability of positive samples as new score to guide...
We present a refinement framework for background subtraction based on color and depth data. The foreground objects are segmented based on color and depth data independently, in which all of the existed background subtraction (BGS) methods can be applied. The two detected foregrounds will be very inaccurate in some situations such as shadowing and color camouflage. We focus our works on refining the...
The inventory of economic forest planting on mountainous area is of great interest for the shareholders, ecologists, and governors. This study presents a novel object-based remote sensing image texture extraction method to aid the classification of mountain economic forest. Whereas the texture pattern of man-planted forest on mountainous area are similar with human fingerprint on remote sensing images,...
In order to carry on multi target recognition quickly and effectively, according to the characteristics of SIFT, PCASIFT and SURF algorithm, a method of multi target recognition based on SURF algorithm and OpenCV is studied. The method includes multi angles recognition and multi targets recognition. Firstly, feature points were extracted single target or multiple targets by SURF algorithm, then storing...
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