Results 31 to 40 of about 844,208 (198)

Structure from Articulated Motion: Accurate and Stable Monocular 3D Reconstruction without Training Data

Sensors, 2019
Recovery of articulated 3D structure from 2D observations is a challenging computer vision problem with many applications. Current learning-based approaches achieve state-of-the-art accuracy on public benchmarks but are restricted to specific types of ...
Onorina Kovalenko, Vladislav Golyanik, Jameel Malik, Ahmed Elhayek, Didier Stricker   +4 more
doaj   +1 more source

A biologically inspired computational vision front-end based on a self-organised pseudo-randomly tessellated artificial retina [PDF]

, 2005
This paper considers the construction of a biologically inspired front-end for computer vision based on an artificial retina pyramid with a self-organised pseudo-randomly tessellated receptive field tessellation.
Balasuriya, S., Siebert, J.P.
core   +1 more source

Concept-Guided Exploration: Building Persistent, Actionable Scene Graphs

Applied Sciences
The perception of 3D space by mobile robots is rapidly moving from flat metric grid representations to hybrid metric-semantic graphs built from human-interpretable concepts.
Noé José Zapata Cornejo, Gerardo Pérez, Alejandro Torrejón, Pedro Núñez, Pablo Bustos   +4 more
doaj   +1 more source

JointTracker: Real-time inertial kinematic chain tracking with joint position estimation [version 1; peer review: 1 approved, 2 approved with reservations]

Open Research Europe
In-field human motion capture (HMC) is drawing increasing attention due to the multitude of application areas. Plenty of research is currently invested in camera-based (markerless) HMC, with the advantage of no infrastructure being required on the body ...
Michael Lorenz, Didier Stricker, Markus Miezal, Gabriele Bleser-Taetz, Bertram Taetz   +4 more
doaj   +1 more source

A Review of Computer Vision for Industrial-Grade Waste Classification

IEEE Access
The automation of municipal solid waste sorting is a rapidly advancing field, driven by the need to improve efficiency, accuracy, and recycling outcomes in material recovery facilities. A key component of this automation is accurate waste classification,
Pelle Thielmann, Yu Zhou, Bruno Mirbach, Didier Stricker, Jason Rambach   +4 more
doaj   +1 more source

To Drive or to Be Driven? The Impact of Autopilot, Navigation System, and Printed Maps on Driver’s Cognitive Workload and Spatial Knowledge

ISPRS International Journal of Geo-Information, 2021
The technical advances in navigation systems should enhance the driving experience, supporting drivers’ spatial decision making and learning in less familiar or unfamiliar environments.
Iuliia Brishtel, Thomas Schmidt, Igor Vozniak, Jason Raphael Rambach, Bruno Mirbach, Didier Stricker   +5 more
doaj   +1 more source

Diabetic retinopathy screening using machine learning: a systematic review

BMC Biomedical Engineering
Diabetic retinopathy (DR) stands as a leading cause of global blindness. Early identification and prompt treatment are crucial in preventing vision impairment caused by diabetic retinopathy (DR).
Fitsum Mesfin Dejene, Taye Girma Debelee, Friedhelm Schwenker, Yehualashet Megersa Ayano, Degaga Wolde Feyisa   +4 more
doaj   +1 more source

Watermark and Trademark Prompts Boost Video Action Recognition in Visual-Language Models

Mathematics
Large-scale Visual-Language Models have demonstrated powerful adaptability in video recognition tasks. However, existing methods typically rely on fine-tuning or text prompt tuning.
Longbin Jin, Hyuntaek Jung, Hyo Jin Jon, Eun Yi Kim   +3 more
doaj   +1 more source

JointTracker: Real-time inertial kinematic chain tracking with joint position estimation [version 2; peer review: 1 approved, 2 approved with reservations]

Open Research Europe
In-field motion capture is drawing increasing attention due to the multitude of application areas, in particular for human motion capture (HMC). Plenty of research is currently invested in camera-based markerless HMC, however, with the inherent drawbacks
Michael Lorenz, Didier Stricker, Markus Miezal, Gabriele Bleser-Taetz, Bertram Taetz   +4 more
doaj   +1 more source

Transformers in Remote Sensing: A Survey

Remote Sensing, 2023
Deep learning-based algorithms have seen a massive popularity in different areas of remote sensing image analysis over the past decade. Recently, transformer-based architectures, originally introduced in natural language processing, have pervaded ...
Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Muhammad Anwer, Salman Khan, Hisham Cholakkal, Gui-Song Xia, Fahad Shahbaz Khan   +6 more
doaj   +1 more source