Part-object relational visual saliency
Recent years have witnessed a big leap in automatic visual saliency detection attributed to
advances in deep learning, especially Convolutional Neural Networks (CNNs). However …
advances in deep learning, especially Convolutional Neural Networks (CNNs). However …
Integrating part-object relationship and contrast for camouflaged object detection
Object detectors that solely rely on image contrast are struggling to detect camouflaged
objects in images because of the high similarity between camouflaged objects and their …
objects in images because of the high similarity between camouflaged objects and their …
Efficient 3D object detection by fitting superquadrics to range image data for robot's object manipulation
G Biegelbauer, M Vincze - Proceedings 2007 IEEE …, 2007 - ieeexplore.ieee.org
Fast detection of objects in a home or office environment is relevant for robotic service and
assistance applications. In this work we present the automatic localization of a wide variety …
assistance applications. In this work we present the automatic localization of a wide variety …
Vision for robotics
Robot vision refers to the capability of a robot to visually perceive the environment and use
this information for execution of various tasks. Visual feedback has been used extensively …
this information for execution of various tasks. Visual feedback has been used extensively …
Pick-place of dynamic objects by robot manipulator based on deep learning and easy user interface teaching systems
Purpose Development of autonomous robot manipulator for human-robot assembly tasks is
a key component to reach high effectiveness. In such tasks, the robot real-time object …
a key component to reach high effectiveness. In such tasks, the robot real-time object …
A model-based approach to finding substitute tools in 3d vision data
P Abelha, F Guerin, M Schoeler - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
A robot can feasibly be given knowledge of a set of tools for manipulation activities (eg
hammer, knife, spatula). If the robot then operates outside a closed environment it is likely to …
hammer, knife, spatula). If the robot then operates outside a closed environment it is likely to …
Reconstructing Superquadrics from Intensity and Color Images
The task of reconstructing 3D scenes based on visual data represents a longstanding
problem in computer vision. Common reconstruction approaches rely on the use of multiple …
problem in computer vision. Common reconstruction approaches rely on the use of multiple …
Model-based 3D object detection: efficient approach using superquadrics
G Biegelbauer, M Vincze, W Wohlkinger - Machine Vision and …, 2010 - Springer
Fast detection of objects in a home or office environment is relevant for robotic service and
assistance applications. In this work we present the automatic localization of a wide variety …
assistance applications. In this work we present the automatic localization of a wide variety …
Evolution of deep belief neural network parameters for robot object recognition and grasping
Robot object recognition and grasping is an important research area in robotics. Recently,
deep learning is gaining popularity as a powerful mechanism for object recognition. Deep …
deep learning is gaining popularity as a powerful mechanism for object recognition. Deep …
Recovery of superquadrics from range images using deep learning: A preliminary study
It has been a longstanding goal in computer vision to describe the 3D physical space in
terms of parameterized volumetric models that would allow autonomous machines to …
terms of parameterized volumetric models that would allow autonomous machines to …