Difference in shape information correlated to object recognition
نویسندگان
چکیده
منابع مشابه
Combining Shape and Color Information For 3D Object Recognition
Both photometric and geometric information are important for 3D object recognition. Traditionally, however, few systems utilized both types of information. This is because no single representation is suitable for both types of information. This paper proposes a method for representing both color and geometric information using a common framework, the Spherical Attribute Image (SAI). The SAI map...
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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 ...
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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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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: The Proceedings of the Annual Convention of the Japanese Psychological Association
سال: 2017
ISSN: 2433-7609
DOI: 10.4992/pacjpa.81.0_3b-039