SSD-6D | Object Pose Estimation

Object Pose Estimation · 2017 · ICCV · CCF A

SSD-6D: Making RGB-based 3D Detection and 6D Pose Estimation Great Again

Extends SSD to 3D model instance detection and 6D pose space, directly producing pose hypotheses for multiple objects from one RGB image.

Paper Code

Research area

Object Pose Estimation

Task level

Instance-level

Object setting

Seen objects

Input modalities

RGB

Requirements

camera intrinsicsCAD modelsynthetic renderings

Full paper metadata Authors, affiliations, research area, datasets, metrics, method tags, and reading status Expand

Authors: Wadim Kehl, Fabian Manhardt, Federico Tombari, Slobodan Ilic, Nassir Navab
Affiliations: Technical University of Munich / Siemens
Conference / journal: Conference · ICCV · CCF A
Research area: Object Pose Estimation
Code availability: Code available
Reading status: Overview:Available Deep Dive:Available
Task setting: Instance-level · Seen objects
Datasets: LINEMOD Occlusion LINEMOD
Evaluation metrics: ADD ADD-S 2D Projection
Method tags: Template Matching & Render Retrieval Multi-object Pose Estimation Instance-level Pose Estimation Absolute Pose Estimation
Requirements: camera intrinsicsCAD modelsynthetic renderings

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