Essays about: "single image depth estimation"
Showing result 1 - 5 of 10 essays containing the words single image depth estimation.
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1. 3D Privacy Masking using Monocular Depth Estimation
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis strives to dive deeper within the area of Monocular Depth Estimation, approximating distance information from one single image using deep neural networks. It introduces a thorough evaluation and analysis of state-of-the-art depth estimation models regarding proposed aspects of relevance for downstream video applications, specifically in a surveillance domain. READ MORE
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2. Operational data extraction using visual perception
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The information era has led the manufacturer of trucks and logistics solution providers are inclined towards software as a service (SAAS) based solutions. With advancements in software technologies like artificial intelligence and deep learning, the domain of computer vision has achieved significant performance boosts that it competes with hardware based solutions. READ MORE
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3. Single image scene-depth estimation based on self-supervised deep learning : For perception in autonomous heavy duty vehicles
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : Depth information is a vital component for perception of the 3D structure of vehicle's surroundings in the autonomous scenario. Ubiquity and relatively low cost of camera equipment make image-based depth estimation very attractive compared to employment of the specialised sensors. READ MORE
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4. 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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5. MobilePose: Real-Time 3D Hand Pose Estimation from a Single RGB Image
University essay from Lunds universitet/Matematik LTHAbstract : Estimating 3D hand poses from RGB images is a challenging task. In this work we construct efficient neural networks to regress sparse 3D skeletons consisting of 21 keypoints in the hand. Additionally heatmaps are regressed to locate the keypoints in 2D. READ MORE