Viola-Jones algorithm
[VEE-oh-lah JOH-nz AL-guh-rith-um]
nounpl: Viola-Jones algorithms
algoritmo de Viola-Jones
1. A machine learning-based approach for visual object detection that uses a cascade of classifiers and Haar-like features to rapidly identify objects (typically faces) in images or video
The Viola-Jones algorithm revolutionized real-time face detection in digital cameras and security systems.
O algoritmo de Viola-Jones revolucionou a detecção de rostos em tempo real em câmeras digitais e sistemas de segurança.
2. A computer vision technique developed by Paul Viola and Michael Jones in 2001 that uses integral images and AdaBoost training for efficient object detection
Many facial recognition systems still rely on the Viola-Jones algorithm as a preprocessing step.
Muitos sistemas de reconhecimento facial ainda dependem do algoritmo de Viola-Jones como uma etapa de pré-processamento.
The Viola-Jones algorithm is a foundational technique in computer vision, published in 2001 and still widely taught in universities and used in industry applications worldwide. It became the standard for real-time face detection in smartphones, cameras, and security systems. The algorithm is named after its creators, Paul Viola and Michael Jones, and is often referenced by its authors' names in both English and Portuguese technical literature. In Brazil, the term remains largely untranslated in professional contexts, maintaining its English nomenclature similar to other algorithm names (e.g., ResNet, YOLO).
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