Search results for: opencv library

• Examining Quality of Hand Segmentation Based on Gaussian Mixture Models

  Publication

  • M. Lech
  • P. Dalka
  • G. Szwoch
  • A. Czyżewski

  - Year 2014

  Results of examination of various implementations of Gaussian mix-ture models are presented in the paper. Two of the implementations belonged to the Intel’s OpenCV 2.4.3 library and utilized Background Subtractor MOG and Background Subtractor MOG2 classes. The third implementation presented in the paper was created by the authors and extended Background Subtractor MOG2 with the possibility of operating on the scaled version of...

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• Algorytmy wykrywania krawędzi w obrazie

  Publication

  • P. Kowalski
  • M. Czyżak

  - Poznan University of Technology Academic Journals. Electrical Engineering - Year 2018

  Wykrywanie krawędzi jest pierwszym etapem w cyfrowym przetwarzaniu obrazów. Operacja ta polega na usunięciu informacji takich jak kolor czy też jasność, a pozostawieniu jedynie krawędzi. Efektem tej operacji jest znaczna redukcja ilości danych do dalszej analizy. Pozwala to na zastosowanie w następnych etapach bardziej złożonych algorytmów rozpoznawania obiektów na podstawie kształtu. W artykule zaprezentowano zastosowanie algorytmów...

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• Stereo vision with Equal Baseline Multiple Camera Set (EBMCS) for obtaining depth maps of plants

  Publication

  • A. Kaczmarek

  - COMPUTERS AND ELECTRONICS IN AGRICULTURE - Year 2017

  This paper presents a method of improving the estimation of distances between an autonomous harvesting robot and plants with ripe fruits by using the vision system based on five cameras. The system is called Equal Baseline Multiple Camera Set (EBMCS). EBMCS has some features of a camera matrix and a camera array. EBMCS is regarded as a set of stereo cameras for estimating distances by obtaining disparity maps and depth maps. This...

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• Emotion Recognition Based on Facial Expressions of Gamers

  Publication

  • M. Pilecki
  • M. Suchacz
  • K. Draszawka

  - Year 2012

  This article presents an approach to emotion recognition based on facial expressions of gamers. With application of certain methods crucial features of an analysed face like eyebrows' shape, eyes and mouth width, height were extracted. Afterwards a group of artificial intelligence methods was applied to classify a given feature set as one of the following emotions: happiness, sadness, anger and fear.The approach presented in this...