A survey of visual preprocessing and shape representation techniques [PDF]
Many recent theories and methods proposed for visual preprocessing and shape representation are summarized. The survey brings together research from the fields of biology, psychology, computer science, electrical engineering, and most recently, neural ...
Olshausen, Bruno A.
core +1 more source
Coding Kendall's Shape Trajectories for 3D Action Recognition
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Suitable shape representations as well as their temporal evolution, termed trajectories, often lie to non-linear manifolds. This puts an additional constraint (i.e., non-linearity) in using conventional machine learning techniques for the purpose of ...
Amor Ben Tanfous, Hassen Drira, B. Amor
semanticscholar +1 more source
Letter-Like Shape Recognition in Preschool Children: Does Graphomotor Knowledge Contribute? [PDF]
Front Psychol, 2021 Seyll L, Content A.
europepmc +1 more source
Soft Compression for Lossless Image Coding Based on Shape Recognition. [PDF]
Entropy (Basel), 2021 Xin G, Fan P.
europepmc +1 more source
Two-dimensional shape recognition using sparse distributed memory [PDF]
Researchers propose a method for recognizing two-dimensional shapes (hand-drawn characters, for example) with an associative memory. The method consists of two stages: first, the image is preprocessed to extract tangents to the contour of the shape ...
Kanerva, Pentti, Olshausen, Bruno
core +1 more source
Cortically constrained shape recognition: Automated white matter tract segmentation validated in the pediatric brain. [PDF]
J Neuroimaging, 2021 Jordan KM +13 more
europepmc +1 more source
Pseudofractal 2D Shape Recognition [PDF]
, 2010 From the beginning of fractal discovery they found a great number of applications. One of those applications is fractal recognition. In this paper we present some of the weaknesses of the fractal recognition methods and how to eliminate them using the pseudofractal approach. Moreover we introduce a new recognition method of 2D shapes which uses fractal
openaire +2 more sources
Theoretical and practical approaches to improve the performance of local correlation algorithms for volume data analysis and shape recognition. [PDF]
Acta Crystallogr D Struct Biol, 2021 Titarenko V, Roseman AM.
europepmc +1 more source
Recognition and Classification of Typical Building Shapes Based on YOLO Object Detection Models
ISPRS International Journal of Geo-InformationThe recognition and classification of building shapes are the prerequisites and foundation for building simplification, matching, and change detection, which have always been important research problems in the field of cartographic generalization. Due to
Xiao Wang +4 more
doaj +1 more source
Shape retrieval and recognition [PDF]
, 2019 233 p. Shape recognition has been an attractive research area with both theoretical and practical importance in the fields of computer vision, pattern analysis and object classification. However, to the best of our knowledge, there is as yet not one unique technique of general validity to measure shape similarity and robust to noise.
openaire +2 more sources