Torsten Sattler
Torsten Sattler är docent i forskargruppen Datorseende och medicinsk bildanalys.

Visar 26 publikationer
Deep LiDAR localization using optical flow sensor-map correspondences
To Learn or Not to Learn: Visual Localization from Essential Matrices
Large-scale, real-time visual–inertial localization revisited
Single-Image Depth Prediction Makes Feature Matching Easier
Making Affine Correspondences Work in Camera Geometry Computation
Long-Term Visual Localization Revisited
SurfelMeshing: Online Surfel-Based Mesh Reconstruction
Infrastructure-Based Multi-camera Calibration Using Radial Projections
Handcrafted Outlier Detection Revisited
Beyond Controlled Environments: 3D Camera Re-localization in Changing Indoor Scenes
Why Having 10,000 Parameters in Your Camera Model Is Better Than Twelve
Self-Supervised Linear Motion Deblurring
Understanding the Limitations of CNN-based Absolute Camera Pose Regression
IMAGE-TO-IMAGE TRANSLATION for ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL and VISUAL LOCALIZATION
Efficient 2D-3D Matching for Multi-Camera Visual Localization
A cross-season correspondence dataset for robust semantic segmentation
Is this the right place? geometric-semantic pose verification for indoor visual localization
Night-to-day image translation for retrieval-based localization
Hybrid scene Compression for Visual Localization
Bad slam: Bundle adjusted direct RGB-D slam
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Real-Time Dense Mapping for Self-Driving Vehicles using Fisheye Cameras
Incremental visual-inertial 3d mesh generation with structural regularities
Revisiting Radial Distortion Absolute Pose
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Datorseende och maskininlärning för robot system