Sentence examples for computational vision from inspiring English sources
"Hilbert Problems of Computational Vision" Bay Area Computer Vision meeting, UC Santa Cruz, 2004.
For computational vision, they can be used for computing affine invariant image features and image descriptors for, e.g., cues to surface shape, image-based matching, and recognition (Lindeberg 1994b; Lindeberg and Gårding 1997; Baumberg 2000; Mikolajczyk and Schmid 2004; Tuytelaars and Gool 2004; Lazebnik et al. 2005; Rothganger et al. 2006).
The team, part of the Computational Vision and Geometry Lab, has already been working on computer vision algorithms that track and aim to predict pedestrian movements.
Bioimaging track electives: BENG 404 - Medical Device Design, 410 – Bioimaging and Biosensing, 436 – Biophotonics & Optical Microscopy, 444 – Medical Imaging, 445 – Biomedical Image Processing & Analysis, 475 – Computational Vision, 476 - Advanced Computational Vision, 485 - Neuroimaging.
One of the central goals of computational vision is to get symbolic description of scenes from natural images.
This paper studies the relevance of the conformal camera to computational vision with a particular focus on stereopsis.
His research interest spans the area of sparsity, low-rank matrix recovery, symmetry/regularity of textures, 3D computer vision, computational photography and vision systems.
His research revolves around the intersections between computational design, computer vision and machine learning.
Malik's research group has worked on many different topics in computer vision, computational modeling of human vision, computer graphics and the analysis of biological images, resulting in more than 150 research papers and 30 PhD dissertations.
Conditional independence is a crucial notion in the development of probabilistic systems which are successfully employed in areas such as computer vision, computational biology, and natural language processing.
The Hidden Markov Model (HMM) is one of the mainstays of statistical modeling of discrete time series, with applications including speech recognition, computational biology, computer vision and econometrics.
