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4 papers · 2 filters
On Representation of 3D Rotation in the Context of Deep Learning
Viktória Pravdová, Lukáš Gajdošech, Hassan Ali +1
This paper investigates various methods of representing 3D rotations and their impact on the learning process of deep neural networks. We evaluated the performance of ResNet18 netw…
Are Minimal Radial Distortion Solvers Necessary for Relative Pose Estimation?
Charalambos Tzamos, Viktor Kocur, Yaqing Ding +2
Estimating the relative pose between two cameras is a fundamental step in many applications such as Structure-from-Motion. The common approach to relative pose estimation is to app…
Enhancement of 3D Camera Synthetic Training Data with Noise Models
Katarína Osvaldová, Lukáš Gajdošech, Viktor Kocur +1
The goal of this paper is to assess the impact of noise in 3D camera-captured data by modeling the noise of the imaging process and applying it on synthetic training data. We compi…
Embedding Non-Distortive Cancelable Face Template Generation
Dmytro Zakharov, Oleksandr Kuznetsov, Emanuele Frontoni +1
Biometric authentication systems are crucial for security, but developing them involves various complexities, including privacy, security, and achieving high accuracy without direc…