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Challenges and Trends in Egocentric Vision: A Survey [PDF]
Machine Intelligence ResearchWith the rapid development of artificial intelligence technologies and wearable devices, egocentric vision understanding has emerged as a new and challenging research direction, gradually attracting widespread attention from both academia and industry ...
Xiang Li +7 more
semanticscholar +4 more sources
Analysis of the Hands in Egocentric Vision: A Survey [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 Egocentric vision (a.k.a. first-person vision–FPV) applications have thrived over the past few years, thanks to the availability of affordable wearable cameras and large annotated datasets. The position of the wearable camera (usually mounted on the head)
A. Bandini, J. Zariffa
semanticscholar +7 more sources
Modeling the environment with egocentric vision systems [PDF]
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2015 More and more intelligent systems, such as robots or wearable systems, are present in our everyday life. This kind of systems interact with the environment so they need suitable models of their surrounding.
Alejandro Rituerto
doaj +3 more sources
Legged Locomotion in Challenging Terrains using Egocentric Vision [PDF]
CoRR, 2022 Animals are capable of precise and agile locomotion using vision. Replicating this ability has been a long-standing goal in robotics. The traditional approach has been to decompose this problem into elevation mapping and foothold planning phases.
Ananye Agarwal +3 more
semanticscholar +4 more sources
Thumb Force Estimation with Egocentric Vision
Adjunct Proceedings of the 38th Annual ACM Symposium on User Interface Software and TechnologyThumb-based touch interaction plays a key role in enhancing usability in virtual and augmented environments. Existing vision-based force sensing approaches rely on hand localization.
Hanseok Jeong +2 more
semanticscholar +2 more sources
Multi-label affordance mapping from egocentric vision [PDF]
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Accurate affordance detection and segmentation with pixel precision is an important piece in many complex systems based on interactions, such as robots and assitive devices.
Lorenzo Mur-Labadia +2 more
semanticscholar +6 more sources
Text-driven affordance learning from egocentric vision [PDF]
Advanced RoboticsUnderstanding how to interact with objects is crucial for many applications such as robotic manipulation. The aim of this study is to build a robust approach that handles multiple interactions, including tool-object interaction.
Tomoya Yoshida +3 more
semanticscholar +4 more sources
Hand-Priming in Object Localization for Assistive Egocentric Vision. [PDF]
IEEE Winter Conf Appl Comput Vis, 2020 the 2020 Winter Conference on Applications of Computer Vision (WACV 2020)
Lee K, Shrivastava A, Kacorri H.
europepmc +6 more sources
An egocentric straight-ahead bias in primate’s vision [PDF]
Brain Structure and Function, 2021 AbstractAs we plan to reach or manipulate objects, we generally orient our body so as to face them. Other objects occupying the same portion of space will likely represent potential obstacles for the intended action. Thus, either as targets or as obstacles, the objects located straight in front of us are often endowed with a special behavioral status ...
Cottereau, Benoit +2 more
openaire +3 more sources
Frontiers in Neurorobotics, 2021 Collaborative robots are currently deployed in professional environments, in collaboration with professional human operators, helping to strike the right balance between mechanization and manual intervention in manufacturing processes required by ...
Dimitris Papanagiotou +2 more
doaj +1 more source