F-SAC

Getting started

In Construction

https://observablehq.com/@stardisblue/fsac

Results

Code and plots used in the paper.

Synthetic

• Results offline 📄 notebook jupyter
• Results online 📄 notebook jupyter
• Plots 📁 seafile

Real

• 🔗 Result data
• 📊 Statistics

Benchmark

Code used to prepare the data in (Dataset) and the code used to do the benchmark (Benchmark Code)

Dataset

Synthetic

• source 🔗 link
• settings 🔗 link
• randomizers <> code

Real

• Siprojuris 🔗 link
• Siprojuris Localisation 🔗 link
• Risse 🔗 link
• Italian Renaissance Architecture 🔗 link
• Trove 🔗 link
• Glottovis 🔗 link
• OCS Wrecks, Coastal Scale 🔗 link

Benchmark Code

• Synthetic <> code
• REAL <> code

Alternative Results & Benchmark

Contains the alternative benchmark used to validate our configuration

Real Scale 3

• 🔗 Benchmark
• 🔗 Results
• 📊 Statistics

Implementations:

Contains the implementation for all the algorithms used in the paper.

OSAC

• <> code
• offline <> code

IOSAC

• <> code
• offline <> code

FSAC

• <> code
• offline <> code

QUAD & QUAD+BIG

• <> code
• github
• Author's implementation github

QUAD & QUAD+BIG bonus

• Real dataset to tsv
• 📊 Statistics, Java version time benchmark

Discussions

Describes related discussions.

• What happens when we increase the number of zoom levels ?
• 📊 Java statistics

Various notes

Various interesting or notable findings

O-SAC

• Why kd-tree can't be used as overlap detection
• Why can't we use O-SAC as is offline, why do we need to adapt it.

F-SAC

• F-SAC animated
• F-SAC worstcase