نتایج جستجو برای: static images
تعداد نتایج: 366767 فیلتر نتایج به سال:
Enliang Zheng: Toward 3D Reconstruction of Static and Dynamic Objects (Under the direction of Jan-Michael Frahm and Enrique Dunn) The goal of image-based 3D reconstruction is to construct a spatial understanding of the world from a collection of images. For applications that seek to model generic real-world scenes, it is important that the reconstruction methods used are able to characterize bo...
Current methods for imaging joint motion are limited to either two-dimensional (2D) video fluoroscopy, or to animated motions from a series of static three-dimensional (3D) images. 3D movement patterns can be detected from biplane fluoroscopy images matched with computed tomography images. This involves several x-ray modalities and sophisticated 2D to 3D matching for the complex wrist joint. We...
Background & Aim: Instead of being based on reality, theoretical approaches related to the occurrence of learning are more based on the observations by researchers. One of the approaches is the study of the effect of changes in virtual education based on the physiological approach. This study aimed to compare the effectiveness of presentation of images in visual education on the brain function ...
We consider the use of a static context tree for binary image compression. The contexts are stored in the leaves of a variable-depth binary tree. The tree structure itself is fully static and optimized off-line for a training image. The structure of the tree is similar for different images of the same type. The benefit from optimizing the tree for each input image separately is usually overweig...
There has been a recent and increasing interest in computer analysis and recognition of human motion. Previously we presented an efficient real-time approach for representing human motion using a compact “Motion History Image” (MHI). Recognition was achieved by statistically matching moment-based features. To address previous problems related to global analysis and limited recognition, we prese...
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