Year: 1998
Type: conference-abstract
Abstract: Vector-valued and tensor-valued images are rich sources of information about many physical phenomena.Visually representing these images so that they can be understood is a challenge, however, because they contain so many inter-related components, 2,5 all of which must be represented simultaneously and intuitively.
Institution: California Institute of Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2057052549