Single-person pose estimationSocial roboticsHuman–robot interactionInternational Journal of Social Robotics - With the development of the economy and the improvement of people's living standard, social robotics gradually enter into daily lives of......
We describe two new approaches to human pose estimation. Both can quickly and accurately predict the 3D positions of body joints from a single depth image, without using any temporal information. The key to both approaches is the use of a large, realisti
Different from these end-to-end learning algorithms, we cast the 3D pose estimation as an optimization problem with a mouse skeleton model54. By encoding the 3D joint angles explicitly, the model outputs are readily interpretable. More importantly, the 3D skeleton model imposes a strong prior (s...
From single- to multi-modal remote sensing imagery interpretation: a survey and taxonomy. Sci China Inf Sci, 2023, 66(4): 140301, https://doi.org/10.1007/s11432-022-3588-0 1 Introduction The development of high spatial resolution (HSR) satellites equipped with various sensors has brought a...
We present an algorithm that takes a single frame of a person's face from a depth camera, e.g., Kinect, and produces a high-resolution 3D mesh of the input... L Shu,I Kemelmachershlizerman,LG Shapiro 被引量: 9发表: 2014年 A POLYNOMIAL BASED DEPTH ESTIMATION FROM A SINGLE IMAGE 6...
Over the last 5 years, the platform Timely Interventions for Diabetes Excellence (TIDE) has been associated with reduced care provider screen time and improved, equitable type 1 diabetes care and outcomes for 268 patients in a heterogeneous population as part of the Teamwork, Targets, Technology, ...
RMPE: Regional multi-person pose estimation. In Proc. IEEE International Conference on Computer Vision (ICCV), 2017. 4 [21] Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, and Kaiming He. Slowfast networks for video recognition. In Proc. IEEE Internation...
In autonomous driving systems, object detection plays a pivotal role by facilitating their ability to perceive the surrounding road environment effectively. Object detection's foremost challenge pertains to its real-time operational capabilities. Achieving this necessitates reducing the detectors' computational...
Ge, Y., Zhang, R., Wang, X., Tang, X., Luo, P.: Deepfashion2: a versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5337–5345 (2019) ...
This chapter describes a method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an object recognition approach, designing an intermediate body parts representation that maps the difficult pose estimation problem into a sim...