Essays about: "Event-based vision"
Showing result 1 - 5 of 10 essays containing the words Event-based vision.
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1. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE
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2. The development of a Hardware-in-the-Loop test setup for event-based vision near-space space objects.
University essay from Luleå tekniska universitet/RymdteknikAbstract : The purpose of this thesis work was to develop a Hardware-in-the-Loop imaging setup that enables experimenting with an event-based and frame-based camera under simulated space conditions. The generated data sets were used to compare visual navigation algorithms in terms of an event-based and frame-based feature detection and tracking algorithm. READ MORE
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3. An automatic timestamp detection technique using vision system
University essay from Högskolan i Gävle/Avdelningen för elektroteknik, matematik och naturvetenskapAbstract : As a part of the manufacturing process at the forging shop of Alleima AB in Sandviken, materials are heated in a furnace and then quenched in a quench tank. A temperature sensor in the outlet of the tank indicates the time when the temperature rises inside the quench tank. READ MORE
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4. Analysing the Energy Efficiency of Training Spiking Neural Networks
University essay from KTH/DatavetenskapAbstract : Neural networks have become increasingly adopted in society over the last few years. As neural networks consume a lot of energy to train, reducing the energy consumption of these networks is desirable from an environmental perspective. READ MORE
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5. A Study of Accumulation Times in Translation from Event Streams to Video for the Purpose of Lip Reading
University essay from KTH/DatavetenskapAbstract : Visually extracting textual context from lips consists of pattern matching which results in a frequent use of machine learning approaches for the task of classification. Previous research has consisted of mostly audiovisual (multi modal) approaches and conventional cameras. READ MORE
