Visual affordance and function understanding: A survey

M Hassanin, S Khan, M Tahtali - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Nowadays, robots are dominating the manufacturing, entertainment, and healthcare
industries. Robot vision aims to equip robots with the capabilities to discover information …

Learning human activities and object affordances from rgb-d videos

HS Koppula, R Gupta… - The International journal …, 2013 - journals.sagepub.com
Understanding human activities and object affordances are two very important skills,
especially for personal robots which operate in human environments. In this work, we …

Capturing hands in action using discriminative salient points and physics simulation

D Tzionas, L Ballan, A Srikantha, P Aponte… - International Journal of …, 2016 - Springer
Hand motion capture is a popular research field, recently gaining more attention due to the
ubiquity of RGB-D sensors. However, even most recent approaches focus on the case of a …

A data-driven approach for real-time full body pose reconstruction from a depth camera

A Baak, M Müller, G Bharaj, HP Seidel… - … Depth Cameras for …, 2013 - Springer
The 3D reconstruction of complex human motions from 2D color images is a challenging
and sometimes intractable problem. The pose estimation problem becomes more feasible …

Flexible CNT-array double helices strain sensor with high stretchability for motion capture

C Li, YL Cui, GL Tian, Y Shu, XF Wang, H Tian… - Scientific reports, 2015 - nature.com
Motion capture is attracting more and more attention due to its potential wide applications in
various fields. However, traditional methods for motion capture still have weakness such as …

Real-time simultaneous pose and shape estimation for articulated objects using a single depth camera

M Ye, R Yang - Proceedings of the IEEE Conference on Computer …, 2014 - cv-foundation.org
In this paper we present a novel real-time algorithm for simultaneous pose and shape
estimation for articulated objects, such as human beings and animals. The key of our pose …

Modeling 4d human-object interactions for event and object recognition

P Wei, Y Zhao, N Zheng… - Proceedings of the IEEE …, 2013 - openaccess.thecvf.com
Recognizing the events and objects in the video sequence are two challenging tasks due to
the complex temporal structures and the large appearance variations. In this paper, we …

Martial arts, dancing and sports dataset: A challenging stereo and multi-view dataset for 3d human pose estimation

W Zhang, Z Liu, L Zhou, H Leung, AB Chan - Image and Vision Computing, 2017 - Elsevier
Human pose estimation is one of the most popular research topics in the past two decades,
especially with the introduction of human pose datasets for benchmark evaluation. These …

Functional object-oriented network for manipulation learning

D Paulius, Y Huang, R Milton… - 2016 IEEE/RSJ …, 2016 - ieeexplore.ieee.org
This paper presents a novel structured knowledge representation called the functional
object-oriented network (FOON) to model the connectivity of the functional-related objects …

Inferring" dark matter" and" dark energy" from videos

D **e, S Todorovic, SC Zhu - Proceedings of the IEEE …, 2013 - openaccess.thecvf.com
This paper presents an approach to localizing functional objects in surveillance videos
without domain knowledge about semantic object classes that may appear in the scene …