thumb|The Necker cube and [[Rubin vase can be perceived in more than one way.]] thumb|Humans are able to make a very good guess on the underlying 3D shape category/identity/geometry given a silhouette of that shape. Computer vision researchers have been able to build computational models for perception that exhibit a similar behavior and are capable of generating and reconstructing 3D shapes from single or multi-view depth maps or silhouettes.
Perception is the process by which our brains interpret sensory information—like visual images—to understand and identify the objects and shapes around us, often making educated guesses about what we're seeing even when we have incomplete information. It matters because understanding how perception works has helped scientists develop computer models that can mimic this human ability, enabling machines to recognize and reconstruct 3D objects from images, much like our brains do naturally.
AI-generated from the Wikipedia summary — may contain errors.
thumb|The Necker cube and [[Rubin vase can be perceived in more than one way.]] thumb|Humans are able to make a very good guess on the underlying 3D shape category/identity/geometry given a silhouette of that shape. Computer vision researchers have been able to build computational models for perception that exhibit a similar behavior and are capable of generating and reconstructing 3D shapes from single or multi-view depth maps or silhouettes.
Perception () is the organization, identification, and interpretation of sensory information, in order to represent and understand the presented information or environment. All perception involves signals that go through the nervous system, which in turn result from physical or chemical stimulation of the sensory system. Vision involves light striking the retina of the eye; smell is mediated by odor molecules; and hearing involves pressure waves.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).