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The Hex
Artist @ravenkwok continues his collaboration with musician Karma Fields by taking his coding visuals into a physical space:
RAID: A Relation-Augmented Image Descriptor
Computer Vision research from the Smart Geometry Processing Group can retrieve images based on visual descriptions created with doodles:
As humans, we regularly interpret scenes based on how objects are related, rather than based on the objects themselves. For example, we see a person riding an object X or a plank bridging two objects. Current methods provide limited support to search for content based on such relations. We present RAID, a relation-augmented image descriptor that supports queries based on inter-region relations. The key idea of our descriptor is to encode region-to-region relations as the spatial distribution of point-to-region relationships between two image regions. RAID allows sketch-based retrieval and requires minimal training data, thus making it suited even for querying uncommon relations. We evaluate the proposed descriptor by querying into large image databases and successfully extract nontrivial images demonstrating complex inter-region relations, which are easily missed or erroneously classified by existing methods. We assess the robustness of RAID on multiple datasets even when the region segmentation is computed automatically or very noisy.
Calvin & Hobbes: the big bang
Project by Gabriel de Laubier turns a comic strip into an interactive 3D scene:
3D rendition of a Calvin & Hobbes comic strip (orginal strip by Bill Watterson). Backface culling and flat-shading are used to give life to the cartoon drawings. You can see it in realtime on Sketchfab
View for yourself here
