Visual representation learning is ubiquitous in various real-world applications, including visual comprehension, video understanding, multi-modal analysis,
However, to what extent the outlined scheme of neural processing of orthographic information also holds true in the case of natural reading has remained an open question. This is because previous studies that were aiming at investi- gating neural processes of natural reading were focusing on ...
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...
The contributions of the paper provide an original framework for characterizing deformation properties (and stages of deformation) of an object under interaction with a robot hand using RGB-D data. The original application of the fast level set method in the log-polar representation of the color ...
an-norm term is employed to promote the sparsity. The truncated nuclear norm is used to model the low-rank prior, rather than the nuclear norm used in most existing methods, to achieve a better approximation to the rank of the considered matrix. Furthermore, an efficient solving method based...
Joint dynamic sparse representation for multi-view face recognition. Pattern Recognit. 2012, 45, 1290–1298. [CrossRef] Sensors 2019, 19, 1664 20 of 21 7. Al-Zubi, R.; Darabkh, K.A.; Jararweh, Y. A Powerful Yet Efficient Iris Recognition Based on Local Binary Quantization. Inf. ...
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 ...