Islab: Created page with "{{StudentProjectTemplate |Summary=Estimation of direction and distance to origin from blood splatter images |Keywords=computer vision, deep learning, image analysis |TimeFrame..."

2025-09-01T13:43:10Z

Created page with "{{StudentProjectTemplate |Summary=Estimation of direction and distance to origin from blood splatter images |Keywords=computer vision, deep learning, image analysis |TimeFrame..."

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{{StudentProjectTemplate
|Summary=Estimation of direction and distance to origin from blood splatter images
|Keywords=computer vision, deep learning, image analysis
|TimeFrame=Fall 2025-Spring 2026
|Prerequisites=Have done or doing the Image Analysis, Computer Vision in 3D and Deep Learning courses.
|Supervisor=Kevin Hernandez-Diaz, Fernando Alonso-Fernandez
|Level=Master
|Status=Open
}}
The project will use a database of blood splatter to estimate the distance to the source and the direction from which it came from using deep learning. The project will focus on data augmentation and simulation when multiple sources may be present in the pattern, and on recognizing and classifying according to the estimated origin.

example of expected work packages on this project:
- Data handling, combination and simulation of multiple sources of blood splatter in a single super-resolution image.
- Training deep learning models for regression of coordinates of origin and compared with previous proposed methods in the literature.
- Classification/clustering analysis of potential number of sources.

Blood splatter analysis - Revision history

Islab: Created page with "{{StudentProjectTemplate |Summary=Estimation of direction and distance to origin from blood splatter images |Keywords=computer vision, deep learning, image analysis |TimeFrame..."