Anchor Distance for 3D Multi-Object Distance Estimation From 2D Single Shot

3D Distance Metric for Pose Estimation and Object Recognition from 2D Projections

Model based object recognition and model based pose estimation require a distance metric to nd the optimal pose and to measure the distance between the measurements and possible models during the recognition process. When the measurements are given in 2D (such as in orthographic and perspective projections) the commonly used distance between the 3D model features and the 2D image features is th...

Set Distance Functions for 3D Object Recognition

One of the key steps in 3D object recognition is the matching between an input cloud and a cloud in a database of known objects. This is usually done using a distance function between sets of descriptors. In this paper we propose to study how several distance functions (some already available and other new proposals) behave experimentally using a large freely available household object database...

An iterative approach for estimation of efficiency by weighted distance

Joint Object Category and 3D Pose Estimation from 2D Images

2D object detection is the task of finding (i) what objects are present in an image and (ii) where they are located, while 3D pose estimation is the task of finding the pose of these objects in 3D space. State-of-the-art methods for solving these tasks follow a two-stage approach where a 3D pose estimation system is applied to bounding boxes (with associated category labels) returned by a 2D de...

Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input

We propose a new efficient single-shot method for multiperson 3D pose estimation in general scenes from a monocular RGB camera. Our fully convolutional DNN-based approach jointly infers 2D and 3D joint locations on the basis of an extended 3D location map supported by body part associations. This new formulation enables the readout of full body poses at a subset of visible joints without the ne...