ALPACA: A fast and accurate computer vision approach for automated landmarking of three-dimensional biological structures.

ABSTRACT: Landmark-based geometric morphometrics has emerged as an essential discipline for the quantitative analysis of size and shape in ecology and evolution. With the ever-increasing density of digitized landmarks, the possible development of a fully automated method of landmark placement has attracted considerable attention. Despite the recent progress in image registration techniques, which could provide a pathway to automation, three-dimensional (3D) morphometric data are still mainly gathered by trained experts. For the most part, the large infrastructure requirements necessary to perform image-based registration, together with its system specificity and its overall speed, have prevented its wide dissemination.Here, we propose and implement a general and lightweight point cloud-based approac

SUBMITTER: Porto A 

PROVIDER: S-EPMC9291522 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature