Az Opencv lehetőségei a mérnöki munkában

Learning OpenCV

OpenCV on TI’s DSP+ARM®

In today’s advancing market, the growing performance and decreasing price of embedded processors are opening many doors for developers to design highly sophisticated solutions for different end applications. The complexities of these systems can create bottlenecks for developers in the form of longer development times, more complicated development environments and issues with application stabil...

A generalization of the AZ identity

We associate with every ~ c 2 ~ the upset U(~) = {U c gt : U D E for some E E ~} and the downset ~ ) ( 8 ) {D c ~ : D C E for some E C $}. W h e n ~d is an antichain in the poset (2 ~, D), then the identi ty becomes 1 w a ( x ) = 1. (1) ~ ~ + ~ Ixl(,;~,------5 xe~ (Ixr) xeu(~)\~ The LYM inequality is obtained by omission of the second summand, which by definition of W~ can also be wri t ten in ...

Visual speech detection using OpenCV

Visual information from the human face; lip-movements and tongue provide us with lots of information about the spoken message and helps in understanding the verbal communication. The visual speech detection overcomes some of the persistent problems and inaccuracies encountered by users that creep in when there is background noise. In noisy environment we pay more attention to the lips which dra...

Handwritten digits recognition using OpenCV

The automated recognition of handwritten digits is a largely studied problem which connects the fields of Computer Vision and Machine Learning and has many applications in real life. In this project, I detail an introductory investigation of the performance of classification in several contexts. Namely, relying on the OpenCV implementations of k-Nearest Neighbor, Random Forests, and Support Vec...