7.6.6 Research 2: Impact of weight to outsole scans from EverOS 2D scanner.

7.6.5 Matching on degraded and partial images.

7.6.4 Matching on clean and full images with several features.

7.6.2 Method 2: SURF detection and MC on degraded impressions.

7.6.1 Method 1: Edge detection and MC (MC-COMP).

7.6 Shoe outsole matching using image descriptors.

7.4 Project Tread (formerly Cocoa Powder Citizen Science).

7.2.2 CoNNOR: Convolutional Neural Network for Outsole Recognition.

7.2 Shoe Scanner - Passive Shoe Recognition.

6.5 Evaluation and comparison of methods for forensic glass source conclusions.

6.4 Learning algorithms to evaluate forensic glass evidence.

5.3.5 Open Set Modeling for Writer Identification from Distribution of Glyphs in Clusters.

5.2.1 Graph measurements (extracted in RCpp by James).

5 Project G: Handwriting (& Signatures).

4.7 Explainable results: Usability and Trust survey.

4.6 Communication of Results and Methods.

4.5.1 Stability of the Analysis Process.

4.4.5 Training Neural Net using data from Scanner(Megan).

4.4.1 Current Data Processing Procedures.

4.3.3 Modified Chumbley non-random test.

4.1.2 Scans from land engraved areas on fired bullets.

Csafe Protocol Software