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Found 11 papers, 0 papers with code
DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
In this work, we propose (i) partial optimal transportation of LiDAR feature descriptor for robust LO estimation, (ii) joint learning of predictive uncertainty while learning odometry over driving sequences, and (iii) demonstrate how PU can serve as evidence for necessary pose-graph optimization when LO network is either under or over confident.
INV-Flow2PoseNet: Light-Resistant Rigid Object Pose from Optical Flow of RGB-D Images using Images, Normals and Vertices
Based on the learned optical flows, a second architecture is proposed that predicts robust rigid transformations from the warped vertex and normal maps.
The Gesture Authoring Space: Authoring Customised Hand Gestures for Grasping Virtual Objects in Immersive Virtual Environments
In a user study, the proposed approach is compared with the pinch gesture and the controller for grasping virtual objects.
Learning Effect of Lay People in Gesture-Based Locomotion in Virtual Reality
In this work, it is investigated whether and how quickly users can adapt to a hand gesture-based locomotion system in VR.
Comparing Controller With the Hand Gestures Pinch and Grab for Picking Up and Placing Virtual Objects
Grabbing virtual objects is one of the essential tasks for Augmented, Virtual, and Mixed Reality applications.
MutualEyeContact: A conversation analysis tool with focus on eye contact
To further investigate the importance of eye contact in social interactions, portable eye tracking technology seems to be a natural choice.
RPSRNet: End-to-End Trainable Rigid Point Set Registration Network Using Barnes-Hut 2D-Tree Representation
For this task, we use a novel 2^D-tree representation for the input point sets and a hierarchical deep feature embedding in the neural network.
Calibration and Auto-Refinement for Light Field Cameras
The ability to create an accurate three-dimensional reconstruction of a captured scene draws attention to the principles of light fields.
RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut $2^D$-Tree Representation
For this task, we use a novel $2^D$-tree representation for the input point sets and a hierarchical deep feature embedding in the neural network.
SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences
Large labeled data sets are one of the essential basics of modern deep learning techniques.
A Survey on Synchronous Augmented, Virtual and Mixed Reality Remote Collaboration Systems
Remote collaboration systems have become increasingly important in today's society, especially during times where physical distancing is advised.
