Search Results for author: Tomas Hodan

Found 9 papers, 4 papers with code

Pose Estimation of Specific Rigid Objects

no code implementations30 Dec 2021 Tomas Hodan

Second, we present HashMatch, an RGB-D method that slides a window over the input image and searches for a match against templates, which are pre-generated by rendering 3D object models in different orientations.

6D Pose Estimation using RGB Autonomous Driving

BOP Challenge 2020 on 6D Object Localization

3 code implementations15 Sep 2020 Tomas Hodan, Martin Sundermeyer, Bertram Drost, Yann Labbe, Eric Brachmann, Frank Michel, Carsten Rother, Jiri Matas

This paper presents the evaluation methodology, datasets, and results of the BOP Challenge 2020, the third in a series of public competitions organized with the goal to capture the status quo in the field of 6D object pose estimation from an RGB-D image.

6D Pose Estimation 6D Pose Estimation using RGB +3

Learning Surrogates via Deep Embedding

no code implementations ECCV 2020 Yash Patel, Tomas Hodan, Jiri Matas

The effectiveness of the proposed technique is demonstrated in a post-tuning setup, where a trained model is tuned using the learned surrogate.

Scene Text Recognition

EPOS: Estimating 6D Pose of Objects with Symmetries

1 code implementation CVPR 2020 Tomas Hodan, Daniel Barath, Jiri Matas

A data-dependent number of corresponding 3D locations is selected per pixel, and poses of possibly multiple object instances are estimated using a robust and efficient variant of the PnP-RANSAC algorithm.

6D Pose Estimation 6D Pose Estimation using RGB +1

Photorealistic Image Synthesis for Object Instance Detection

no code implementations9 Feb 2019 Tomas Hodan, Vibhav Vineet, Ran Gal, Emanuel Shalev, Jon Hanzelka, Treb Connell, Pedro Urbina, Sudipta N. Sinha, Brian Guenter

We present an approach to synthesize highly photorealistic images of 3D object models, which we use to train a convolutional neural network for detecting the objects in real images.

6D Pose Estimation 6D Pose Estimation using RGB +2

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