Knowledge-guided visual perception of 3-D human gait from a single image sequence

1992 ◽  
Vol 22 (2) ◽  
pp. 336-342 ◽  
Author(s):  
Z. Chen ◽  
H.-J. Lee
Keyword(s):  
Visual Perception ◽  
Image Sequence ◽  
Human Gait ◽  
Single Image

5239266 MRI using variable imaging parameter(s) within a single image sequence

1994 ◽  
Vol 12 (5) ◽  
pp. XI ◽  
Author(s):  
Leon Kaufman ◽  
David M Kramer ◽  
John M Coleman
Keyword(s):  
Image Sequence ◽  
Single Image ◽  
Imaging Parameter

Restoration and resolution enhancement of a single image from a vibration-distorted image sequence

1999 ◽  
Author(s):  
Adrian Stern ◽  
Elad Kempner ◽  
Avi Shukrun ◽  
Norman S. Kopeika
Keyword(s):  
Resolution Enhancement ◽  
Image Sequence ◽  
Single Image ◽  
Distorted Image

scholarly journals CLASSIFICATION OF FEATURES OF IMAGE SEQUENCES

2015 ◽  
Vol XL-5/W6 ◽  
pp. 79-81 ◽  
Author(s):  
E. V. Pugin ◽  
A. L. Zhiznyakov
Keyword(s):  
Image Processing ◽  
Pattern Recognition ◽  
Feature Space ◽  
Image Sequence ◽  
Image Sequences ◽  
Semantic Features ◽  
Single Image ◽  
Video Cameras

Processing of image sequences is a very actual trend now. This is confirmed with a vast amount of researches in that area. The possibility of an image sequence processing and pattern recognition became available because of increased computer capabilities and better photo and video cameras. The feature extraction is one of the main steps during image processing and pattern recognition. This paper presents a novel classification of features of image sequences. The proposed classification has three groups: 1) features of a single image, 2) features of an image sequence, 3) semantic features of an observed scene. The first group includes features extracted from a single image. The second group consists of features of any kinds of image sequences. The third group contains semantic features. Reverse feature clarification method is the iterative method when on each iteration we use higher level features to extract lower level features more precisely. The proposed classification of features of image sequences solves a problem of decomposition of the source feature space into several groups. Reverse feature clarification method allows to increase the quality of image processing during iterative process.

Image sequence coding using concepts in visual perception

1990 ◽  
Author(s):  
Todd R. Reed ◽  
Touradj Ebrahimi ◽  
Gaetano Giunta ◽  
Patrice Willemin ◽  
Ferran Marques ◽  
...  
Keyword(s):  
Visual Perception ◽  
Image Sequence ◽  
Image Sequence Coding

scholarly journals Incompatible body-translation delays visual perception of human gait

2010 ◽  
Vol 1 (3) ◽  
pp. 352-352
Author(s):  
K. Fujimoto ◽  
A. Yagi ◽  
T. Sato
Keyword(s):  
Visual Perception ◽  
Human Gait

An improvement of visual perception of single image by fusion of DCP with patch processing

Optik ◽  
2019 ◽  
Vol 183 ◽  
pp. 154-162
Author(s):  
Rasmita Lenka ◽  
Asimananda Khandual ◽  
Soumya Ranjan Nayak ◽  
G. Palai
Keyword(s):  
Visual Perception ◽  
Single Image

Development of visual perception and attention, assessed by backward masking and application in children with epilepsy

2003 ◽  
Vol 45 (08) ◽  
Author(s):  
Marta Macchi ◽  
Livia Nicoletta Rossi ◽  
Ivan Cortinovis ◽  
Lucia Menegazzo ◽  
Sandra Maria Burri ◽  
...  
Keyword(s):  
Visual Perception ◽  
Backward Masking
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