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20212026
most citedOptimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens

7 citations · 10 across the 7 of their papers we have counts for

collaborators

8 papers

q-bio.PE2026

Centering Ecological Goals in Automated Identification of Individual Animals

Lukas Picek, Timm Haucke, Lukáš Adam +16

Recognizing individual animals over time is central to many ecological and conservation questions, including estimating abundance, survival, movement, and social structure. Recent…

cs.CV2025

Unsupervised Pelage Pattern Unwrapping for Animal Re-identification

Aleksandr Algasov, Ekaterina Nepovinnykh, Fedor Zolotarev +4

Existing individual re-identification methods often struggle with the deformable nature of animal fur or skin patterns which undergo geometric distortions due to body movement and…

cs.CV2025★ 7 cited

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens

Alyson East, Elizabeth G. Campolongo, Luke Meyers +25

1) Biological collections house millions of specimens with digital images increasingly available through open-access platforms. However, most imaging protocols were developed for h…

cs.CV2024

Understanding the Impact of Training Set Size on Animal Re-identification

Aleksandr Algasov, Ekaterina Nepovinnykh, Tuomas Eerola +4

Recent advancements in the automatic re-identification of animal individuals from images have opened up new possibilities for studying wildlife through camera traps and citizen sci…

cs.CV2023★ 1 cited

Combining feature aggregation and geometric similarity for re-identification of patterned animals

Veikka Immonen, Ekaterina Nepovinnykh, Tuomas Eerola +2

Image-based re-identification of animal individuals allows gathering of information such as migration patterns of the animals over time. This, together with large image volumes col…

cs.CV2022★ 2 cited

NORPPA: NOvel Ringed seal re-identification by Pelage Pattern Aggregation

Ekaterina Nepovinnykh, Ilia Chelak, Tuomas Eerola +1

We propose a method for Saimaa ringed seal (Pusa hispida saimensis) re-identification. Access to large image volumes through camera trapping and crowdsourcing provides novel possib…