# Computer vision > [[PORTAL_Graph_theory|Graph theory]] spine. ## Microsims — three.js <div class="microsim-player"> <iframe src="https://wikitube-3d-microsims.netlify.app/Computer_vision_microsim.html" width="100%" height="520" frameborder="0" loading="lazy" sandbox="allow-scripts allow-same-origin" title="Computer vision — three.js microsim"></iframe> </div> <p class="wt-pending"><strong>Note:</strong> staged, awaiting CDN deploy.</p> Computer vision is the field concerned with enabling computers to derive meaningful information from digital images, video, and other visual input, then act on or reason about what they perceive. It draws on image processing, pattern recognition, and — increasingly — deep neural networks trained on large labelled datasets. ## Overview Many classic computer-vision problems have a graph-theoretic core: an image can be treated as a graph of pixels connected to their neighbours, and tasks like segmentation, object-boundary detection, and stereo matching are often solved as graph-cut or shortest-path problems on that structure. This build renders that connection directly, demonstrating why [[Graph_theory|graph theory]] is one of the standard mathematical toolkits computer vision draws on, alongside linear algebra and probability. **On the spine:** [[Graph_theory]] · [[Physics]] · [[Information_theory]]. ## Wikipedia : Wikitube **Strict pair:** [Wikipedia](https://en.wikipedia.org/wiki/Computer_vision) : [Wikitube](https://en.wikitube.io/wiki/Computer_vision) --- *Repopulated 2026-08-05 · existing three.js asset renamed + wired, Wikipedia-sourced overview · 0 deletions.*