![]() ![]() Extending 3D reasoning over time for 4D spatio-temporal reasoning.through collecting novel datasets, weakly-supervised learning, optimization-based approaches) Accounting for the lack of large datasets of images or videos paired with 3D ground truth (e.g.Representing the interaction relationship between humans and objects (e.g., proximal distances, contact), as well as the semantics of this (e.g., affordances).Dealing with the strong occlusions during realistic human-object interactions.Reconstructing additionally 3D physical objects from single-/multi-view images.Reconstructing deformable 3D human bodies and hands from single-/multi-view images.Among others, this project involves challenges like: Challenges exist at all levels of abstraction, from the ill-posed 3D inference from 2D images, to the semantic interpretation of it. This holistic reconstruction endows computers with the ability to recognize what is in the scene, infer the state of humans and objects and analyse their semantic and spatio-temporal configuration.Īlthough for humans this perceptual capability seems effortless, for computers this has proven to be hard. ![]() Think of this as “mirroring” the observed scene, with the humans and objects in it, to a replica 3D/4D virtual scene with virtual humans and objects. To this end, we first need to “make sense” of the observed scene, i.e., to model how people, objects, and spaces look, to estimate their shape and pose, to infer their semantics and spatial relationships, and to do all of these in 3D space (or 4D for spacetime), because our bodies move in a 3D world (or 4D for spacetime). This is important for Ambient Intelligence, Virtual Assistants, Human-Computer and Human-Robot Interaction, and Augmented/Virtual Reality (AR/VR). Our long-term goal is to develop human-centred AI that accurately perceives humans from images and videos while performing tasks, and assists them in these. This is reflected in the images and videos that we upload on Facebook, Instagram, YouTube, or that we capture through smart glasses (e.g. Humans constantly interact with objects, spaces and other humans to perform tasks. By stepping outside his normal perception of the world and seeing it in a different way, he thinks he has gained an insight into the so-called hard problem of consciousness – how to explain the feeling of sensation.The ELLIS unit Amsterdam provides a fully funded PhD position on the “4D Perception of Interacting Humans from Videos”.ĭo you want to help computers see, understand, and assist us, humans, in our everyday life? Are you excited with Artificial Intelligence (AI), 3D Machine Perception, 3D Human and Object Understanding, and 3D Avatars? Do you aspire to conduct internationally-visible research in one of the world’s most exciting cities? We are searching for a strong PhD candidate to push together the state of the art! For him, however, the experiment is not simply an exploration of vision. The latest to pass through the looking glass is a young philosopher called Jan Degenaar. Kohler is just one in a long line of researchers who have used inverting goggles to try to understand how we see. In a grainy black-and-white film that records his stumblings, the eternally surprised Kohler dives to catch a child’s balloon drifting skywards and turns a teacup upside down against a stream of water being poured from above. He is psychologist Ivo Kohler, and he is wearing a pair of goggles with a built-in mirror that turns his world upside down. ![]() This is Innsbruck, Austria, in the 1950s, and no, the man hasn’t been drinking too much schnapps. But again he misjudges, and his friend draws back in alarm to avoid being punched in the nose. He strides forward, reaching out to shake a friend’s hand. Goggles that warp your vision might be the key to understanding the redness of red, the softness of velvet and the nature of consciousness itselfĪ MAN walks confidently towards an open gate but instead of going straight through he raises his knee very high as if he were stepping over a low wall. Video: How reversing glasses alter perception ![]()
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