Wimmelbild Analysis with Approximate Curvature Coding Distance Images
نویسندگان
چکیده
We consider a task of tracing out target figures hidden in teeming figure pictures come to known as Wimmelbild(er). Wimmelbild is a popular genre of visual puzzles; a timeless classic for children, artists and cognitive scientists. Particularly suited to the considered task, we propose a diffuse representation which serves as a heuristic approximation mimicking curvature coding distance images. Curvature coding distance images received increased attention in recent years. Typically, they are computed as solutions to variants of Poisson PDE. The proposed approximation is based on erosion of the white space (background) followed by isotropic averaging, hence, does not require solving a PDE.
منابع مشابه
Top-down visual search in Wimmelbild
Wimmelbild which means “teeming figure picture” is a popular genre of visual puzzles. Abundant masses of small figures are brought together in complex arrangements to make one scene in a Wimmelbild. It is picture hunt game. We discuss what type of computations/processes could possibly underlie the solution of the discovery of figures that are hidden due to a distractive influence of the context...
متن کاملSegmentation of 3D cell membrane images by PDE methods and its applications
We present a set of techniques that enable us to segment objects from 3D cell membrane images. Particularly, we propose methods for detection of approximate cell nuclei centers, extraction of the inner cell boundaries, the surface of the organism and the intercellular borders--the so called intercellular skeleton. All methods are based on numerical solution of partial differential equations. Th...
متن کاملA multi-scale method for automatically extracting the dominant features of cervical vertebrae in CT images
Localization of the dominant points of cervical spines in medical images is important for improving the medical automation in clinical head and neck applications. In order to automatically identify the dominant points of cervical vertebrae in neck CT images with precision, we propose a method based on multi-scale contour analysis to analyzing the deformable shape of spines. To extract the spine...
متن کاملTwo Approaches to Incorporate Approximate Geometry into Multi-View Image Coding
Two compression schemes for coding multiple images of a static scene are compared. Both codecs apply approximate 3-D scene geometry: in Model-aided Coding, images are predicted by model-driven disparity compensation, while the Model-based Coder uses geometry to convert images into texture maps for compression. Images of real-world objects are used to evaluate both codecs. Coding performance is ...
متن کاملImage Compression with Anisotropic Geodesic Triangulations
We propose a new image compression method based on geodesic Delaunay triangulations. Triangulations are generated by a progressive geodesic meshing algorithm which exploits the anisotropy of images through a farthest point sampling strategy. This seeding is performed according to anisotropic geodesic distances which force the anisotropic Delaunay triangles to follow the geometry of the image. G...
متن کامل