Learning visual features under motion invariance
نویسندگان
چکیده
منابع مشابه
Learning Visual Invariance
Invariance is a necessary feature of a visual system able to recognize real objects in all their possible appearance. It is also the processing step most problematic to understand in biological systems, and most difficult to simulate in computational models. This work investigates the possibility to achieve viewpoint invariance without adopting any explicit theorical solution to the problem, bu...
متن کاملLearning the Lie Groups of Visual Invariance
A fundamental problem in biological and machine vision is visual invariance: How are objects perceived to be the same despite transformations such as translations, rotations, and scaling? In this letter, we describe a new, unsupervised approach to learning invariances based on Lie group theory. Unlike traditional approaches that sacrifice information about transformations to achieve invariance,...
متن کاملLearning and disrupting invariance in visual recognition
Learning by temporal association rules such as Foldiak’s trace rule [1] is an attractive hypothesis that explains the development of invariance in visual recognition. Consistent with these rules, several recent experiments have shown that invariance can be broken by appropriately altering the visual environment but found puzzling differences in the effects at the psychophysical [2, 3] versus si...
متن کاملTitle of Dissertation : VIEW - INVARIANCE IN VISUAL HUMAN MOTION ANALYSIS
Title of Dissertation: VIEW-INVARIANCE IN VISUAL HUMAN MOTION ANALYSIS Vasudev Parameswaran, Doctor of Philosophy, 2004 Dissertation directed by: Professor Rama Chellappa Department of Computer Science This thesis makes contributions towards the solutions to two problems in the area of visual human motion analysis: human action recognition and human body pose estimation. Although there has been...
متن کاملVisual Tracking Using Deep Motion Features
Generic visual tracking is a challenging computer vision problem, where the position of a specified target is estimated through a sequence of frames. The only given information is the initial location of the target. Therefore, the tracker has to adapt and learn any kind of object, which it describes through visual features used to differentiate target from background. Standard appearance featur...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Neural Networks
سال: 2020
ISSN: 0893-6080
DOI: 10.1016/j.neunet.2020.03.013