Titlebook: Computer Analysis of Images and Patterns; 19th International C Nicolas Tsapatsoulis,Andreas Panayides,Mario Vento Conference proceedings 20

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Jennifer L. Beverly,David L. Martellicient simplified version of the Homological Spanning Forest (.) for encoding homological and homotopy-based information of binary digital images. We create one Adjacency Tree (.) for each intensity contrast in a fully parallel manner. These trees, which define a Contrast Adjacency Forest (.), are i

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Computer Analysis of Images and Patterns978-3-030-89131-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233449.jpg

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Conference proceedings 2021ers are organized in the following topical sections across the 2 volumes: 3D vision, biomedical image and pattern analysis; machine learning; feature extractions; object recognition; face and gesture, guess the age contest, biometrics, cryptography and security; and segmentation and image restoration..

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https://doi.org/10.1007/978-3-540-77278-1based methods, focused on image background and pedestrian appearance, show that realism in both of them is beneficial to a different extent, depending on the kind of model (regression- or detection-based) and on pedestrian size in the images.