The performance of each classifier used is evaluated in terms of speed and efficiency. It has been observed that KNN outperforms other classifiers including ...
The performance of each classifier used is evaluated in terms of speed and efficiency. It has been observed that KNN outperforms other classifiers including ...
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Breiman, L.: Random forests. · Geurts, P., Ernst, D., Wehenkel, L.: Extremely randomized trees. · Cover, T., Hart, P.: Nearest neighbor pattern classification.
This paper presents a customized implementation of both recursive tracking and tracking by detection approaches, and proposes the use of a Random Forest ...
Dec 1, 2014 · A marker-less AR application recognizes things that were not directly provided to the application beforehand.
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The main idea of a combination methodology is to combine a set of models (classifiers), each of them solving the same original task, in order to obtain a better ...
They are some- times used for increasing the accuracy and the range of the tracking in the presence of a marker based tracking system or in combination with.
Missing: Classifiers. | Show results with:Classifiers.
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May 15, 2024 · User-centric markerless tracking in VR headsets will facilitate boundless virtual environments that can adapt to various commercial uses.
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PDF | This paper presents an algorithm based on the method of supervised machine learning and multi-keyframes to achieve markerless augmented reality.
Real and virtual objects must be properly aligned with respect to each other ... context of optical markerless tracking for Augmented. Reality applications.