Results 81 to 90 of about 556,231 (187)

Human pose estimation with supervoxels

, 2014
This thesis investigates how segmentation as a preprocessing step can reduce both the search space as well as complexity of human pose estimation in the context of smart environments. A 3D reconstruction is computed with a voxel carving algorithm. Based on a superpixel algorithm, these voxels are segmented into supervoxels that are then applied to ...
openaire   +4 more sources

Learning a Disentangled Embedding for Monocular 3D Shape Retrieval and Pose Estimation

, 2018
We propose a novel approach to jointly perform 3D shape retrieval and pose estimation from monocular images.In order to make the method robust to real-world image variations, e.g. complex textures and backgrounds, we learn an embedding space from 3D data
Chua, Tat-Seng, Lin, Kyaw Zaw, Sun, Qianru, Theobalt, Christian, Xu, Weipeng   +4 more
core  

On Priors for Robust Pose Estimation

, 2023
This thesis investigates the use of several priors to facilitate the robust estimation of the relative camera pose from point correspondences. Initially, local correspondence consistency priors are considered. The discriminative power of known geometrical concepts is demonstrated by proposing a handcrafted outlier filter which outperforms concurrent ...
openaire   +2 more sources

Pose Selection for Underwater Object Detection, Pose Estimation, and Tracking

IEEE Access
Remotely Operated Vehicles (ROVs) are essential instruments in most industrial applications of subsea Inspection, Maintenance, and Repair (IMR). In IMR applications, especially in short-distance inspection and intervention operations, ROVs should be able
Hakon Teigland, Vahid Hassani, Ments Tore Moller   +2 more
doaj   +1 more source

ROM-Pose: restoring occluded mask image for 2D human pose estimation [PDF]

PeerJ Computer Science
Human pose estimation (HPE) is a field focused on estimating human poses by detecting key points in images. HPE includes methods like top-down and bottom-up approaches. The top-down approach uses a two-stage process, first locating and then detecting key
Yunju Lee, Jihie Kim
doaj   +2 more sources

End-to-End Implicit Object Pose Estimation

Sensors
To accurately estimate the 6D pose of objects, most methods employ a two-stage algorithm. While such two-stage algorithms achieve high accuracy, they are often slow. Additionally, many approaches utilize encoding–decoding to obtain the 6D pose, with many
Chen Cao, Baocheng Yu, Wenxia Xu, Guojun Chen, Yuming Ai   +4 more
doaj   +1 more source

On the Robustness of Human Pose Estimation

CoRR, 2019
Accepted in CVPR ...
Sahil Shah, Naman Jain, Abhishek Sharma, Arjun Jain   +3 more
openaire   +3 more sources

Single-channel Ultra-wideband Radar Human Pose-incremental Estimation Technology

Leida xuebao
This study focuses on integrating optical and radar sensors for human pose estimation. Based on the physical correspondence between the continuous-time micromotion accumulation and pose increment, a single-channel ultra-wideband radar human pose ...
Kemeng LI, Yongpeng DAI, Yongping SONG, Xiaolong ZHOU, Yongkun SONG, Tian JIN   +5 more
doaj   +1 more source

Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation

, 2018
In this paper, we propose a pose grammar to tackle the problem of 3D human pose estimation. Our model directly takes 2D pose as input and learns a generalized 2D-3D mapping function.
Fang, Haoshu, Liu, Xiaobai, Wang, Wenguan, Xu, Yuanlu, Zhu, Song-Chun   +4 more
core   +1 more source

Correction: Pedestrian POSE estimation using multi-branched deep learning pose net.

PLoS ONE
[This corrects the article DOI: 10.1371/journal.pone.0312177.].
Muhammad Alyas Shahid, Mudassar Raza, Muhammad Sharif, Reem Alshenaifi, Seifedine Kadry   +4 more
doaj   +1 more source