Visual processing during natural reading received: 06 December 2015 accepted: 09 May 2016 Published: 27 May 2016 Béla Weiss1, Balázs Knakker1,2 & Zoltán Vidnyánszky1,3 Reading is a unique human ability that plays a pivotal role in the development and functioning of our modern ...
Visual representation learning is ubiquitous in various real-world applications, including visual comprehension, video understanding, multi-modal analysis,
The binary image is then skeletonized (see Figure 1c) to determine the graph representation of the plant, as shown in Figure 1d. Figure 1e shows each detected leaf is marked with a distinct color. Finally, Figure 1f shows each leaf numbered in order of emergence. The proposed method ...
The original combination of level sets with log-polar domain representation of visual data enables a robust contour identification and subsequently the tracking of the deformations in the data stream. Capitalizing on the behavior of the contour during the probing phase, the object gets classified as ...
Shan, G.: Color image denoising via monogenic matrix-based sparse representation. Vis. Comput. 2, 1–14 (2017) Google Scholar Sobral, A., Bouwmans, T., Zahzah, E.H.: LRSLibrary: Low-rank and sparse tools for background modeling and subtraction in videos. In: Robust Low-Rank and ...
The visual representation was used to compare the effectiveness of three algorithms for creating workplace areas. The assignment of the work-place still used predefined rules, which were unable to cope with various situations. In contrast with [21], visual analysis is used for reasoning and ...
s= u1 u2 ∼ N {s¯, S} = N u¯ 1 u¯ 2 , U0 0U The probability density function for infinite lines like Plücker, N ¯l, L , is composed of the homogeneous line representation and the covariance matrix defined as follows: ¯l = u¯ 1 × u¯ 2, and L = [u...