منابع مشابه
Modeling Human Visual Object Recognition
Networks models of three-dimensional object recognition based on interpolation among speci c stored views behave in several respects similarly to human observers in a number of recognition tasks. We expect that the resolution of the issue of features to be used to represent object views should lead to an even closer replication of human performance in recognition. 1 Network models of object rec...
متن کاملModeling Positional Uncertainty in Object Recognition
Iterative alignment is one method for feature-based matching of an image and a model for the purpose of object recognition. The method alternately hypothesizes feature pairings and estimates a viewpoint transformation from those pairings; at each stage a refined transformation estimate is used to suggest additional pairings. This paper extends iterative alignment in the domain of 2D similarity ...
متن کاملModeling Uncertainties in Performance of Object Recognition
Efficient probability modeling is indispensable for uncertainty quantification of the recognition data. If the model assumptions do not reflect the intrinsic nature of data and associated random variables, then a strong performance measure will most likely fail to come up with a correct match for recognition. This paper proposes the probability models for two kinds of data obtained with two dis...
متن کاملA Flexible Object Recognition and Modeling System
We describe a exible object recognition and modeling system FORMS which represents and recognizes animate objects from their silhouettes This consists of a model for generating the shapes of animate objects which gives a formalism for solving the inverse problem of object recog nition We model all objects at three levels of complexity i the primitives ii the mid grained shapes which are deforma...
متن کاملStatistical Object Recognition Including Color Modeling
In this paper an appearance-based statistical approach for localization and classification of 3-D objects in 2-D color images with real heterogeneous backgrounds is presented. The object feature extraction is done separately for the red, green, and blue channel. We compute six dimensional local feature vectors directly from pixel values in the images using wavelet multiresolution analysis. The ...
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: Journal of Vision
سال: 2010
ISSN: 1534-7362
DOI: 10.1167/7.15.19