Essays about: "FaceNet"

Found 4 essays containing the word FaceNet.

1. 1. Analysis of different face detection andrecognition models for Android

   University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

   Author : Salinda Hettiarachchi; [2021]
   Keywords : Machine learning; Deep learning; Face Detection; Face Recognition; FaceNet; MobileFaceNet; Android; Tensorflow Lite; On device AI;

   Abstract : Human key point tracking such as face detection and recognition has become an increasingly popular research topic. It is a platform independent functionality and already being implemented on a wide range of platforms. Android is one such platform that runs on mobile phones and top of many edge devices such as car devices and smart home appliances. READ MORE

3. 2. Indoor scene verification : Evaluation of indoor scene representations for the purpose of location verification

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Filip Finfando; [2020]
   Keywords : computer vision; perceptual similarity; visual place recognition; indoor scene localization; deep neural networks; datorseende; perceptuella likheter; visuell platsigenkänning; inomhusbild lokalisering; djupa neuronnät;

   Abstract : When human’s visual system is looking at two pictures taken in some indoor location, it is fairly easy to tell whether they were taken in exactly the same place, even when the location has never been visited in reality. It is possible due to being able to pay attention to the multiple factors such as spatial properties (windows shape, room shape), common patterns (floor, walls) or presence of specific objects (furniture, lighting). READ MORE

4. 3. Evaluation of Face Recognition Accuracy in Surveillance Video

   University essay from Linköpings universitet/Datorseende

   Author : Johanna Tuvskog; [2020]
   Keywords : AFR; face recognition; surveillance; CNN; neural network;

   Abstract : Automatic Face Recognition (AFR) can be useful in the forensic field when identifying people in surveillance footage. In AFR systems it is common to use deep neural networks which perform well if the quality of the images keeps a certain level. READ MORE

5. 4. A Comparative Study of Facial Recognition Techniques : With focus on low computational power

   University essay from Högskolan i Skövde/Institutionen för informationsteknologi

   Author : Timmy Schenkel; Oliver Ringhage; Nicklas Branding; [2019]
   Keywords : Machine Learning; Facial Recognition; Low Computational Power;

   Abstract : Facial recognition is an increasingly popular security measure in scenarios with low computational power, such as phones and Raspberry Pi’s. There are many facial recognition techniques available. The aim is to compare three such techniques in both performance and time metrics. READ MORE