Cover Image

A Stochastic-Geometrical Framework for Object Pose Estimation based on Mixture Models Avoiding the Correspondence Problem

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Hoegele, Wolfgang
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation
by: Fogliato, Riccardo, et al.
Published: (2024)

RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects
by: Kim, Jaeguk, et al.
Published: (2025)

Co-op: Correspondence-based Novel Object Pose Estimation
by: Moon, Sungphill, et al.
Published: (2025)

AI Pose Analysis and Kinematic Profiling of Range-of-Motion Variations in Resistance Training
by: Diamant, Adam
Published: (2025)

A Modality-Tailored Graph Modeling Framework for Urban Region Representation via Contrastive Learning
by: Zhao, Yaya, et al.
Published: (2025)

COG: Confidence-aware Optimal Geometric Correspondence for Unsupervised Single-reference Novel Object Pose Estimation
by: Che, Yuchen, et al.
Published: (2026)

Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers
by: Liu, Shiqi, et al.
Published: (2024)

On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detection
by: Le-Gia, Tai, et al.
Published: (2025)

Scalable Vision-Guided Crop Yield Estimation
by: Li, Harrison H., et al.
Published: (2025)

GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
by: Nguyen, Van Nguyen, et al.
Published: (2023)

PicoPose: Progressive Pixel-to-Pixel Correspondence Learning for Novel Object Pose Estimation
by: Liu, Lihua, et al.
Published: (2025)

Resolving Symmetry Ambiguity in Correspondence-based Methods for Instance-level Object Pose Estimation
by: Lin, Yongliang, et al.
Published: (2024)

Beyond Binomial and Negative Binomial: Adaptation in Bernoulli Parameter Estimation
by: Medin, Safa C., et al.
Published: (2018)

Deep Learning-Based BMD Estimation from Radiographs with Conformal Uncertainty Quantification
by: Hui, Long, et al.
Published: (2025)

Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation
by: Xu, Yuchen, et al.
Published: (2023)

Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection
by: Yamashita, Kohei, et al.
Published: (2023)

Estimating the Impact of COVID-19 on Travel Demand in Houston Area Using Deep Learning and Satellite Imagery
by: Pachika, Alekhya, et al.
Published: (2026)

Integrated Gaussian Processes for Robust and Adaptive Multi-Object Tracking
by: Lydeard, Fred, et al.
Published: (2025)

Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes
by: Wang, Zuzheng, et al.
Published: (2024)

An Explainable Anomaly Detection Framework for Monitoring Depression and Anxiety Using Consumer Wearable Devices
by: Zhang, Yuezhou, et al.
Published: (2025)

Heterogeneous Image-based Classification Using Distributional Data Analysis
by: Reinhardt, Alec, et al.
Published: (2024)

LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation
by: Zhang, Ruida, et al.
Published: (2024)

Classification of Buried Objects from Ground Penetrating Radar Images by using Second Order Deep Learning Models
by: Jafuno, Douba, et al.
Published: (2024)

Globally Optimal Solution to the Generalized Relative Pose Estimation Problem using Affine Correspondences
by: Yu, Zhenbao, et al.
Published: (2025)

3DM-WeConvene: Learned Image Compression with 3D Multi-Level Wavelet-Domain Convolution and Entropy Model
by: Fu, Haisheng, et al.
Published: (2025)

Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation
by: Hönig, Peter, et al.
Published: (2024)

RCGNet: RGB-based Category-Level 6D Object Pose Estimation with Geometric Guidance
by: Yu, Sheng, et al.
Published: (2025)

A toolbox for calculating objective image properties in aesthetics research
by: Redies, Christoph, et al.
Published: (2024)

SIGN: A Statistically-Informed Gaze Network for Gaze Time Prediction
by: Ye, Jianping, et al.
Published: (2025)

HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation
by: Lin, Yongliang, et al.
Published: (2023)

A statistical method for crack pre-detection in 3D concrete images
by: Makogin, Vitalii, et al.
Published: (2024)

NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD Models
by: Milano, Francesco, et al.
Published: (2024)

A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure Images
by: Zhang, Kungang, et al.
Published: (2025)

Structure-Aware Correspondence Learning for Relative Pose Estimation
by: Chen, Yihan, et al.
Published: (2025)

Interpretable machine learning for time-to-event prediction in medicine and healthcare
by: Baniecki, Hubert, et al.
Published: (2023)

Parkinson gait modelling from an anomaly deep representation
by: Rangel, Edgar, et al.
Published: (2023)

Unsupervised cell segmentation by fast Gaussian Processes
by: Baracaldo, Laura, et al.
Published: (2025)

UAVDB: Point-Guided Masks for UAV Detection and Segmentation
by: Chen, Yu-Hsi
Published: (2024)

Multimodal Prototyping for cancer survival prediction
by: Song, Andrew H., et al.
Published: (2024)

Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learning
by: Ray, Isaac, et al.
Published: (2024)