Revealing how expectations and attention affect visual information processing in the human visual cortex with advanced human neuroimaging methods. PI of the Knowledge-based vision lab: Arjen Alink.

Jan 1, 2018 · In recent years, approaches have been proposed to mimic the human intelligence capabilities by combining prior knowledge and visual information in knowledge vision based systems, which is a step towards cognitive vision.

As a novel computational approach to vision, Computational Knowledge Vision is based on computer vision and knowledge engineering to explore and address complex visual perception and understanding scenarios.

Aug 8, 1997 · The vast majority of work in machine vision emphasizes the representation of perceived objects and events: it is these internal representations that incorporate the 'knowledge' in knowledge-based vision or form the 'models' in model-based vision.

To reveal how knowledge allows our brain to better process sensory information, our objective is to determine if attention and expectation increase the efficiency with which image information is encoded in the human visual cortex.

KNOWLEDGE-BASED VISION Information Integration Image analysis uses different sources of knowledge for decision-making and it is usually not a yes-or-no task. ☞ Instead, each knowledge source (e.g. shape, texture, model matching, etc.) that tries to verify a hypothesis will produce a number indicating its certainty that the hypothesis is true.

Jan 1, 2018 · The integration of explicit knowledge with image data enables the development of applications that operate on a joint bottom-up and top-down approach to visual learning, analogous to human vision. Knowledge associated to vision systems is shown to have less dependency on data, increased accuracy, and robustness.

Aug 29, 1997 · The vast majority of work in machine vision emphasizes the representation of perceived objects and events: it is these internal representations that incorporate the ‘knowledge’ in knowledge–based vision or form the ‘modelsrsquo; in model–based vision.

at the core of knowledge-based vision, emphasizing those insights and intuitions that may be unappreciated today. At the same time, we turn a critical eye toward this approach, discussing the factors (beside the relative immaturity of the vision procedures) that we believe led all too often

Dec 1, 2022 · This paper outlines a novel advanced framework that combines structurized knowledge and visual models—Computational Knowledge Vision. In advanced studies of image and visual perception, a visual model’s understanding and reasoning ability often determines whether it works well in complex scenarios.