Help us to comprehend shape complexity

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Our mission

We wish to create a dataset that quantifies shape complexity. The goal is to share this data with the broader research community as a source for downstream research topics. It is hoped that by enriching a shape dataset with complexity information, it will be possible to evaluate and develop algorithms that are proficient at estimating complexity automatically.

What is shape complexity?

Shape complexity remains an ill-defined concept. Furthermore, our understanding of how humans intuitively evaluate complexity in 3D remains limited. The perceptual complexity of a shape is considered to be a multi-faceted construct involving several factors. [1]

[1] Gartus A, Leder H (2017) Predicting perceived visual complexity of abstract patterns using computational measures: The influence of mirror symmetry on complexity perception. PLOS ONE 12(11): e0185276. [doi]

How can I help?

If the outlined project intersets you, you can currently help us by participating in our user study to collect hand-annotated data.

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