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pro vyhledávání: '"Tome', Denis"'
Monocular Human Pose Estimation (HPE) aims at determining the 3D positions of human joints from a single 2D image captured by a camera. However, a single 2D point in the image may correspond to multiple points in 3D space. Typically, the uniqueness o
Externí odkaz:
http://arxiv.org/abs/2406.19726
Understanding human motion from video is essential for a range of applications, including pose estimation, mesh recovery and action recognition. While state-of-the-art methods predominantly rely on transformer-based architectures, these approaches ha
Externí odkaz:
http://arxiv.org/abs/2404.10880
Autor:
Tome, Denis, Alldieck, Thiemo, Peluse, Patrick, Pons-Moll, Gerard, Agapito, Lourdes, Badino, Hernan, De la Torre, Fernando
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
We present a solution to egocentric 3D body pose estimation from monocular images captured from downward looking fish-eye cameras installed on the rim of a head mounted VR device. This unusual viewpoint leads to images with unique visual appearance,
Externí odkaz:
http://arxiv.org/abs/2011.01519
We present a new solution to egocentric 3D body pose estimation from monocular images captured from a downward looking fish-eye camera installed on the rim of a head mounted virtual reality device. This unusual viewpoint, just 2 cm. away from the use
Externí odkaz:
http://arxiv.org/abs/1907.10045
We propose a CNN-based approach for multi-camera markerless motion capture of the human body. Unlike existing methods that first perform pose estimation on individual cameras and generate 3D models as post-processing, our approach makes use of 3D rea
Externí odkaz:
http://arxiv.org/abs/1808.01525
We propose a unified formulation for the problem of 3D human pose estimation from a single raw RGB image that reasons jointly about 2D joint estimation and 3D pose reconstruction to improve both tasks. We take an integrated approach that fuses probab
Externí odkaz:
http://arxiv.org/abs/1701.00295
Publikováno v:
2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)
Accurate pedestrian detection has a primary role in automotive safety: for example, by issuing warnings to the driver or acting actively on car's brakes, it helps decreasing the probability of injuries and human fatalities. In order to achieve very h
Externí odkaz:
http://arxiv.org/abs/1609.02500
Autor:
Tomè, Denis, Monti, Federico, Baroffio, Luca, Bondi, Luca, Tagliasacchi, Marco, Tubaro, Stefano
Pedestrian detection is a popular research topic due to its paramount importance for a number of applications, especially in the fields of automotive, surveillance and robotics. Despite the significant improvements, pedestrian detection is still an o
Externí odkaz:
http://arxiv.org/abs/1510.03608
Akademický článek
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Publikováno v:
2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin); 2016, p15-19, 5p
