Researching | Object 6D pose estimation algorithm based on improved heatmap loss function

Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 7, 913(2022)

Object 6D pose estimation algorithm based on improved heatmap loss function

Lin LIN^1,2, Yan-jie WANG^1、*, and Hai-chao SUN¹

Author Affiliations

¹Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China

²University of Chinese Academy of Sciences, Beijing 100049, China

show less

Abstract Get PDF(in Chinese)

Figures&Tables (13)

References (18)

Paper Information

References(18)

[1] RUBLEE E, RABAUD V, KONOLIGE K et al. ORB: an efficient alternative to SIFT or SURF[C], 2564-2571(2011).

[2] BAY H, ESS A, TUYTELAARS T et al. Speeded-up robust features (SURF)[J]. Computer Vision and Image Understanding, 110, 346-359(2008).

[3] DING N N, LIU Y Y, ZHU M. Extracting image feature points using scale-interaction of mexican-hat wavelets[J]. Chinese Journal of Liquid Crystals and Displays, 27, 125-129(2012).

[4] DO T T, CAI M, PHAM T et al. Deep-6DPose: recovering 6D object pose from a single RGB image[EB/OL]. https://arxiv.org/abs/1802.10367v1

[5] SUNDERMEYER M, MARTON Z C, DURNER M et al. Augmented autoencoders: implicit 3D orientation learning for 6D object detection[J]. International Journal of Computer Vision, 128, 714-729(2020).

[6] TEKIN B, SINHA S N, FUA P et al. Real-time seamless single shot 6D object pose prediction[C], 292-301(2018).

[7] ZHAO Z L, PENG G, WANG H Y et al. Estimating 6D pose from localizing designated surface keypoints[EB/OL]. https://arxiv.org/abs/1812.01387

[8] PARK K, PATTEN T, VINCZE M. Pix2Pose: pixel-wise coordinate regression of objects for 6D pose estimation[C], 7667-7676(2019).

[9] PENG S D, LIU Y, HUANG Q X et al. PVNet: pixel-wise voting network for 6DoF pose estimation[C], 4556-4565(2019).

[10] WANG X Y, BO L F, LI F X. Adaptive wing loss for robust face alignment via heatmap regression[C], 6970-6980(2019).

[11] SUN K, XIAO B, LIU D et al. Deep high-resolution representation learning for human pose estimation[C], 5693-5703(2019).

[12] WANG J D, SUN K, CHENG T H et al. Deep high-resolution representation learning for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 3349-3364(2021).

[13] ZHANG F, ZHU X T, DAI H B et al. Distribution-aware coordinate representation for human pose estimation[C], 7091-7100(2020).

[14] LEPETIT V, MORENO-NOGUER F, FUA P. EPnP: an accurate O(n) solution to the PnP problem[J]. International Journal of Computer Vision, 81, 155-166(2009).

[15] XIAO J X, HAYS J, EHINGER K A et al. SUN database: large-scale scene recognition from abbey to zoo[C], 3485-3492(2010).

[16] XIANG Y, SCHMIDT T, NARAYANAN V et al. PoseCNN: a convolutional neural network for 6D object pose estimation in cluttered scenes[C](2018).

[17] LI Y, WANG G, JI X Y et al. DeepIM: deep iterative matching for 6D pose estimation[J]. International Journal of Computer Vision, 128, 657-678(2020).

[18] OBERWEGER M, RAD M, LEPETIT V. Making deep heatmaps robust to partial occlusions for 3D object pose estimation[C], 125-141(2018).

Tools

Get Citation

Copy Citation Text

Lin LIN, Yan-jie WANG, Hai-chao SUN. Object 6D pose estimation algorithm based on improved heatmap loss function[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(7): 913

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category:

Received: Dec. 3, 2021

Accepted: --

Published Online: Jul. 7, 2022

The Author Email: Yan-jie WANG (wangyj@ciomp.ac.cn)

DOI:10.37188/CJLCD.2021-0317

Topics