Geometric verification for Saimaa ringed seal re-identification

• Main Author: Immonen, Veikka
• Other Authors: Lappeenrannan-Lahden teknillinen yliopisto LUT, Lappeenranta-Lahti University of Technology LUT
• Format: Bachelor Thesis
• Language: English
• Published: 2023
• Subjects: Saimaa ringed seal; re-identification; animal biometrics; computer vision; geometric verification; image processing; convolutional neural network; saimaannorppa; yksilöntunnistus; eläinten biometria; konenäkö; geometrinen varmennus; kuvankäsittely; konvoluutioneuroverkko; fi=Tekniikka|en=Technology|; fi=School of Engineering Science; Laskennallinen tekniikka|en=School of Engineering Science; Computational Engineering|; Norppa; Pusa hispida; ringed seal
• Online Access: https://lutpub.lut.fi/handle/10024/165691

Ongoing conservation efforts of the Saimaa ringed seal (Pusa hispida saimensis) utilize an image-based re-identification, but the re-identification is mostly done manually. Due to enlarging image data sets of seals, the identification process is getting more time-consuming, increasing the demand for...