Par3dnet: Using 3dcnns for object recognition on tridimensional partial views
Deep learning-based methods have proven to be the best performers when it comes to
object recognition cues both in images and tridimensional data. Nonetheless, when it comes …
object recognition cues both in images and tridimensional data. Nonetheless, when it comes …
Triangular Mesh and Neural Network for Object Search Based Cluster Centre Descriptor
R Hosur, P Mahendrakar, A Hiremath, D Noola - SN Computer Science, 2024 - Springer
Since 3D models and printing have become more and more widespread, 3D object
recognition has gained appeal. It might be challenging to locate the needed object in a large …
recognition has gained appeal. It might be challenging to locate the needed object in a large …
Autonomous robot KUKA YouBot navigation based on path planning and traffic signals recognition
We present the successful demonstration of autonomous robot KUKA YouBot navigation
based on path planning and traffic signals recognition. The integration of both capabilities …
based on path planning and traffic signals recognition. The integration of both capabilities …
The Development of Assistive Robotics: A Comprehensive Analysis Integrating Machine Learning, Robotic Vision, and Collaborative Human Assistive Robots
With integration of collaborative robotics, robotic vision, and machine learning, the high-end
frontier reached in assistive robotics is likely to help develop promising solutions to the …
frontier reached in assistive robotics is likely to help develop promising solutions to the …
Bridging the Simulation-to-Reality Gap: Adapting Simulation Environment for Object Recognition
HY Sonetta - 2021 - search.proquest.com
Rapid advancements in object recognition have created a huge demand for labeled
datasets for the task of training, testing, and validation of different techniques. Due to the …
datasets for the task of training, testing, and validation of different techniques. Due to the …
Cálculo de la dimensión fractal en datos 3D
A Aguirre Ivorra - 2021 - rua.ua.es
En este proyecto se investigará el cálculo de la dimensión fractal en datos 3D y su uso
como descriptor. Se parte de la hipótesis de que la dimensión fractal ofrece una media de la …
como descriptor. Se parte de la hipótesis de que la dimensión fractal ofrece una media de la …
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C Learning - … Artificial Intelligence: Second World Conference, XAI …, 2024 - books.google.com
Beyond improving trust and validating model fairness, xAI practices also have the potential
to recover valuable scientific insights in application domains where little to no prior human …
to recover valuable scientific insights in application domains where little to no prior human …