Titlebook: Computer Vision; Statistical Models f Song-Chun Zhu,Ying Nian Wu Textbook 2023 Springer Nature Switzerland AG 2023 FRAME Models.Natural ima

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Crypto Romance Scams and Pig Butchering,Texture is an important characteristic of the appearance of objects in natural scenes and is a crucial cue in visual perception. It plays an important role in computer vision, graphics, and image encoding. Understanding texture is an essential part of understanding human vision.

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https://doi.org/10.1007/978-3-031-57750-5Textons refer to fundamental micro-structures in natural images and are considered the atoms of pre-attentive human visual perception. Unfortunately, the term “texton” remains a vague concept in the literature for lacking a good mathematical model. In this chapter, we present various generative image models for textons.

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The Fall Offensive of Senator Keating,This chapter gives a general introduction to three families of probabilistic models and their connections. Most of the models studied in the previous chapters, as well as most of the models in the current machine learning and deep learning literature, belong to these three families of models.

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A Tale of Three Families: Discriminative, Descriptive, and Generative Models,This chapter gives a general introduction to three families of probabilistic models and their connections. Most of the models studied in the previous chapters, as well as most of the models in the current machine learning and deep learning literature, belong to these three families of models.

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Gestalt Laws and Perceptual Organization,he early twentieth century, focuses on the study of how organisms perceive entire patterns or configurations from an image, rather than just individual components. As is commonly cited, “the whole is more than the sum of its parts” best describes the idea of Gestaltism.

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2.1D Sketch and Layered Representation, or feature statistics. Primal sketch seeks to decompose an image domain into the texton structural domain and the remaining texture domain. In this chapter, we shall study how to decompose an input image into multiple layers with partial occluding order relation inferred and the occluded contour completed if possible.