Scale - Space Recognition Based on the Retino - Cortical Transform

نویسنده

  • I. Eising
چکیده

Visual transformations are often employed to achieve size and rotation invariances in computational approaches to vision. Nature appears to have adopted a similar strategy: research workers studying biological vision systems have known for over a decade that a particular spatial transformation appears to be applied to the visual signals that are conveyed between the retina and the primary visual cortex in mammals. This transformation, the Retino-Cortical (RC) Transform Wilson (1), has the property of re-mapping visual information to remove the effects of scale, 2D rotation and certain projective distortions, Johnston (2). In addition, this general class of transformations maps a dilating optical flowfield, i.e. a centred focus-ofexpansion, to a translating flowfield, Bartlett and Jain (3).

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Rc Transform Approach

Iconic approaches Fisher (2) to object recognition rely upon the direct comparison between an unknown input image with of characteristic views of images of a target subject contained in an icon database. Hence, this approach to recognition is distinguished by making comparisons in icon-space as opposed to making comparisons upon a more condensed symbolic representation of the information contai...

متن کامل

A Software Retina for Egocentric & Robotic Vision Applications on Mobile Platforms

We present work in progress to develop a low-cost highly integrated camera sensor for egocentric and robotic vision. Our underlying approach is to address current limitations to image analysis by Deep Convolutional Neural Networks, such as the requirement to learn simple scale and rotation transformations, which contribute to the large computational demands for training and opaqueness of the le...

متن کامل

Scale Space Representations Locally Adapted to the Geometry of Base and Target Manifold

We generalize the Gaussian multi-resolution image paradigm for a Euclidean domain to general Riemannian base manifolds and also account for the codomain by considering the extension into a fibre bundle structure. We elaborate on aspects of parametrization and gauge, as these are important in practical applications. We subsequently scrutinize two examples that are of interest in bio-mathematical...

متن کامل

Supervised Feature Extraction of Face Images for Improvement of Recognition Accuracy

Dimensionality reduction methods transform or select a low dimensional feature space to efficiently represent the original high dimensional feature space of data. Feature reduction techniques are an important step in many pattern recognition problems in different fields especially in analyzing of high dimensional data. Hyperspectral images are acquired by remote sensors and human face images ar...

متن کامل

A Fast Localization and Feature Extraction Method Based on Wavelet Transform in Iris Recognition

With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This rese...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002