Search Results for author: Ivan Shugurov

Found 7 papers, 1 papers with code

RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration

no code implementations27 Sep 2022 Hao Yu, Ji Hou, Zheng Qin, Mahdi Saleh, Ivan Shugurov, Kai Wang, Benjamin Busam, Slobodan Ilic

More specifically, 3D structures of the whole frame are first represented by our global PPF signatures, from which structural descriptors are learned to help geometric descriptors sense the 3D world beyond local regions.

Point Cloud Registration

DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation

no code implementations6 Jul 2022 Ivan Shugurov, Sergey Zakharov, Slobodan Ilic

The main conclusions is that RGB excels in correspondence estimation, while depth contributes to the pose accuracy if good 3D-3D correspondences are available.

object-detection Object Detection +1

Multi-View Object Pose Refinement With Differentiable Renderer

no code implementations6 Jul 2022 Ivan Shugurov, Ivan Pavlov, Sergey Zakharov, Slobodan Ilic

This paper introduces a novel multi-view 6 DoF object pose refinement approach focusing on improving methods trained on synthetic data.

Camera Calibration

OSOP: A Multi-Stage One Shot Object Pose Estimation Framework

no code implementations CVPR 2022 Ivan Shugurov, Fu Li, Benjamin Busam, Slobodan Ilic

We present a novel one-shot method for object detection and 6 DoF pose estimation, that does not require training on target objects.

object-detection Object Detection +1

HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects

no code implementations5 Apr 2019 Roman Kaskman, Sergey Zakharov, Ivan Shugurov, Slobodan Ilic

We also present a set of benchmarks to test various desired detector properties, particularly focusing on scalability with respect to the number of objects and resistance to changing light conditions, occlusions and clutter.

6D Pose Estimation 6D Pose Estimation using RGB

DPOD: 6D Pose Object Detector and Refiner

2 code implementations ICCV 2019 Sergey Zakharov, Ivan Shugurov, Slobodan Ilic

An additional RGB pose refinement of the initial pose estimates is performed using a custom deep learning-based refinement scheme.

3D Object Detection 6D Pose Estimation +2

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