Shi-NeSS: Detecting Good and Stable Keypoints with a Neural Stability Score

1 code implementation • 3 Jul 2023 • Konstantin Pakulev, Alexander Vakhitov, Gonzalo Ferrer

Learning a feature point detector presents a challenge both due to the ambiguity of the definition of a keypoint and correspondingly the need for a specially prepared ground truth labels for such points.

NeSS-ST: Detecting Good and Stable Keypoints with a Neural Stability Score and the Shi-Tomasi detector

1 code implementation • ICCV 2023 • Konstantin Pakulev, Alexander Vakhitov, Gonzalo Ferrer

Learning a feature point detector presents a challenge both due to the ambiguity of the definition of a keypoint and, correspondingly, the need for specially prepared ground truth labels for such points.

SmartPortraits: Depth Powered Handheld Smartphone Dataset of Human Portraits for State Estimation, Reconstruction and Synthesis

no code implementations • CVPR 2022 • Anastasiia Kornilova, Marsel Faizullin, Konstantin Pakulev, Andrey Sadkov, Denis Kukushkin, Azat Akhmetyanov, Timur Akhtyamov, Hekmat Taherinejad, Gonzalo Ferrer

We present a dataset of 1000 video sequences of human portraits recorded in real and uncontrolled conditions by using a handheld smartphone accompanied by an external high-quality depth camera.

3D Reconstruction

SmartDepthSync: Open Source Synchronized Video Recording System of Smartphone RGB and Depth Camera Range Image Frames with Sub-millisecond Precision

2 code implementations • 5 Nov 2021 • Marsel Faizullin, Anastasiia Kornilova, Azat Akhmetyanov, Konstantin Pakulev, Andrey Sadkov, Gonzalo Ferrer

In this paper, we propose a hardware-software recording system that presents a heterogeneous structure and contains a smartphone and an external depth camera for recording visual, depth, and inertial data that are mutually synchronized.