Skip to search formSkip to main contentSkip to account menu

3D pose estimation

3D pose estimation is the problem of determining the transformation of an object in a 2D image which gives the 3D object. The need for 3D pose… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Known scene geometry and camera calibration parameters give important information to video content analysis systems. In this… 
2015
2015
This paper presents an efficient framework for the categorization of objects in real-world scenes (captured with an RGB-D sensor… 
2015
2015
Estimating 3-dimensional head pose from a single 2D image is a challenging task with extensive applications. Existing approaches… 
2015
2015
We propose a real-time method for 3D head pose estimation from RGB-D sequences. Our algorithm relies on a Random Forest framework… 
2009
2009
We present a system for fast model-based segmentation and 3D pose estimation of specular objects using appearance based specular… 
2009
2009
This paper proposes a reliable approach for 3D motion parameters estimation by using only two images which are taken before and… 
2008
2008
We propose an approach to 3D facial pose estimation that, unlike most state-of-the-art techniques, can handle arbitrary poses… 
2006
2006
An algorithm for the estimation of the position and orientation of a moving object using a hybrid eye-in-hand/eye-to-hand multi… 
1999
1999
We propose a novel person veriication system for real-time face identiication. The main features of the system include accurate… 
1993
1993
The authors focus on the robust 3D-3D single and multiple pose estimation problems. The robust 3D-3D single pose estimation…