Results 101 to 110 of about 10,859 (240)

3D Keypoint Estimation Using Implicit Representation Learning

, 2023
In this paper, we tackle the challenging problem of 3D keypoint estimation of general objects using a novel implicit representation. Previous works have demonstrated promising results for keypoint prediction through direct coordinate regression or ...
Huang, Haibin, Han, Xiaoguang, Du, Dong, Ma, Chongyang, Zhu, Xiangyu   +4 more
core   +1 more source

Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities

Computer Graphics Forum, EarlyView.
Abstract Estimating correspondences between deformed shape instances is a long‐standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on ...
A. Zhuravlev, L. Bastian, D. Cao, N. El Amrani, P. Roetzer, V. Ehm, R. Marin, H. Nishizawa, S. Morishima, C. Theobalt, N. Navab, D. Cremers, F. Bernard, Z. Lähner, V. Golyanik   +14 more
wiley   +1 more source

Keypoint trajectory estimation using propagation based tracking

, 2016
One of the major steps in visual environment perception for automotive applications is to track keypoints and to subsequently estimate egomotion and environment structure from the trajectories of these keypoints.
Rudolf Mester, Fanani, Nolang,, Matthias Ochs, Ochs, Matthias,, Bradler, Henry,, Mester, Rudolf,, Nolang Fanani, Henry Bradler   +7 more
core   +1 more source

Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles

Computer Graphics Forum, EarlyView.
Abstract Human motion is fundamentally driven by continuous physical interaction with the environment. Whether walking, running, or simply standing, the forces exchanged between our feet and the ground provide crucial insights for understanding and reconstructing human movement. Recent advances in wearable insole devices offer a compelling solution for
J. L. Ponton, E. Alvarado, L. G. Foo, N. Pelechano, C. Andujar, M. Habermann   +5 more
wiley   +1 more source

A ST-ConvLSTM Network for 3D Human Keypoint Localization Using MmWave Radar

Sensors
Accurate human keypoint localization in complex environments demands robust sensing and advanced modeling. In this article, we construct a ST-ConvLSTM network for 3D human keypoint estimation via millimeter-wave radar point clouds.
Siyuan Wei, Huadong Wang, Yi Mo, Dongping Du   +3 more
doaj   +1 more source

Neural Outlier Rejection For Self-Supervised Keypoint Learning

, 2020
Identifying salient points in images is a crucial component for visual odometry, Structure-from-Motion or SLAM algorithms. Recently, several learned keypoint methods have demonstrated compelling performance on challenging benchmarks.
Tang, Jiexiong,, Rares, A., Pillai, S., Guizilini, V., Kim, H.   +4 more
core  

SAGE: Structure‐Aware Generative Video Transitions between Diverse Clips

Computer Graphics Forum, EarlyView.
Abstract Video transitions aim to synthesize intermediate frames between two clips, but naïve approaches such as linear blending introduce artifacts that limit professional use or break temporal coherence. Traditional techniques (cross‐fades, morphing, frame interpolation) and recent generative inbetweening methods can produce high‐quality plausible ...
Mia Kan, Yilin Liu, Niloy J. Mitra
wiley   +1 more source

Geometry‐Aware Alignment and Comparison of Hierarchical Morse Complexes with Applications

Computer Graphics Forum, EarlyView.
Abstract Scalar fields derived from 3D X‐ray CT scans of samples undergoing ex situ processes, such as thermal aging, chemical etching, or mechanical stress, pose unique challenges for characterizing similarities and differences across acquisitions. Typically, a sample A (source) is imaged, removed, and subjected to experimental conditions that alter ...
Aniketh Venkat, Attila Gyulassy, Peer‐Timo Bremer, Valerio Pascucci   +3 more
wiley   +1 more source

Research on the applicability of image keypoints in underground mine environments

矿业科学学报
The keypoint algorithm, as a fundamental algorithm in machine vision, plays a crucial role in enhancing the visual perception capabilities of new mining equipment. The keypoint algorithm can be applied across various mining tasks.
WANG Jiawen, LIAO Chenfei, ZHAO Zhongqi, HUANG Zhipeng, XIE Peilong, LIU Xinyi, HOU Yanhu, YANG Kehu   +7 more
doaj   +1 more source

GNOCHI: Generative Neural mOdel for Close Human‐Human Interactions

Computer Graphics Forum, EarlyView.
Abstract Creating realistic 3D human‐human interactions in virtual environments is challenging due to the high degrees of freedom in human body and the need for physically accurate poses that do not collide with each other. Traditional methods for humanhuman interaction are based on motion tracking or 3D body reconstruction, but lack generative ...
Gonzalo Gómez‐Nogales, Marc Comino‐Trinidad, Andrés Casado‐Elvira, Dan Casas   +3 more
wiley   +1 more source