Essays about: "Eye motion estimation"
Found 5 essays containing the words Eye motion estimation.
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1. Self-supervised monocular depth estimation for dynamic scenes
University essay from Lunds universitet/Matematik LTHAbstract : Estimating depth from an image is an ill-fitted problem, since we project a three-dimensional space to a two-dimensional image. However, human can estimate a plausible depth from only a single eye and often are we relaying on this for quick estimation of moving objects. READ MORE
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2. Deep Neural Networks for Dynamic Visual Data
University essay from Lunds universitet/Matematik LTHAbstract : Given monocular video of people performing daily tasks our objective is to estimate the 3D positions of 32 given joints associated to the human skeleton. Due to the success of deep convolutional networks in image classification, image segmentation and activity recognition we propose to estimate 3D joint positions from video using deep convolutional networks. READ MORE
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3. Dorsal visual cues in German wasp navigation
University essay from Lunds universitet/Examensarbeten i biologiAbstract : The German wasp Vespula germanica is found in the Palaeartic region of the globe. Outside this area, it is highly invasive species. It has an omnivorous diet and is able to hunt other insects and scavenge for food from both natural and anthropogenic sources. READ MORE
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4. Combining Eye- and Head-Tracking Signals for Improved Event Detection
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Analysing eye movements recorded with mobile eye-tracking devices is difficult since the eye-tracking signals are severely affected by simultaneous head and body movements. The automatic analysis methods developed for static eye-tracking systems do not take this into account and are therefore not suitable for application to data which also contains head and body movements. READ MORE
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5. Model-Based Eye Detection and Animation
University essay from Institutionen för systemteknikAbstract : In this thesis we present a system to extract the eye motion from a video stream containing a human face and applying this eye motion into a virtual character. By the notation eye motion estimation, we mean the information which describes the location of the eyes in each frame of the video stream. READ MORE
