منابع مشابه
Object recognition using metric shape
Most previous studies of 3D shape perception have shown a general inability to visually perceive metric shape. In line with this, studies of object recognition have shown that only qualitative differences, not quantitative or metric ones can be used effectively for object recognition. Recently, Bingham and Lind (2008) found that large perspective changes (≥ 45°) allow perception of metric shape...
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Chapter 1: INTRODUCTION Chapter 2: SHAPE-BASED DESCRIPTION 2.1 Fourier Descriptors 2.2 Moment Invariants 2.3 Scalar Descriptors Chapter 3: CLASSIFICATION 3.1 Supervised v Unsupervised Classification 3.2 Classification using Bayes Theorem 3.3 Implementing Bayesian Classification Chapter 4: COMBINING CLASSIFIERS 4.1 The Fusion Model 4.2 Theory 4.2.1 The Product Rule 4.2.2 Sum Rule 4.3 Classifier ...
متن کاملShape Matching and Object Recognition
We approach recognition in the framework of deformable shape matching, relying on a new algorithm for finding correspondences between feature points. This algorithm sets up correspondence as an integer quadratic programming problem, where the cost function has terms based on similarity of corresponding geometric blur point descriptors as well as the geometric distortion between pairs of corresp...
متن کاملShape Representations for Object Recognition
The problem of object recognition has been at the forefront of computer vision research in the last decade. The most successful approaches have used mainly edgeor texture-based representations. The shape of the object outline, albeit widely used for pre-segmented objects, has found limited applicability to the detection problem in real images. The fact that shape is a truly holistic global perc...
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ژورنال
عنوان ژورنال: Vision Research
سال: 2012
ISSN: 0042-6989
DOI: 10.1016/j.visres.2012.07.013