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Object Pose Estimation · 2019 · CVPR · CCF A

PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation

Localizes 2D keypoints through pixelwise direction voting, then solves pose with PnP, improving keypoint stability under occlusion.

Research area

Object Pose Estimation

Task level

Instance-level

Object setting

Seen objects

Input modalities

RGB

Requirements

camera intrinsicsCAD model2D object mask/crop
Full paper metadata Authors, affiliations, research area, datasets, metrics, method tags, and reading status Expand
Authors
Sida Peng, Yuan Liu, Qixing Huang, Xiaowei Zhou, Hujun Bao
Affiliations
Zhejiang University
Conference / journal
Conference · CVPR · CCF A
Research area
Object Pose Estimation
Code availability
Code available
Reading status
Overview:Available Deep Dive:Available
Task setting
Instance-level · Seen objects
Evaluation metrics
ADD ADD-S 2D Projection

Original paper terminology:ADD / ADD-S / 2D Projection

Requirements
camera intrinsicsCAD model2D object mask/crop

Reading Notes

Overview / Deep Dive

Available src/paper-notes/pvnet/coarse.md

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Planned note structure

  1. 01 Basic information
  2. 02 Positioning in one sentence
  3. 03 Method inputs and outputs
  4. 04 Problem setting
  5. 05 Core motivation
  6. 06 Method overview
  7. 07 Experimental overview
  8. 08 Strengths and limitations
  9. 09 Research takeaways

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