Abstract. With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. With such data, it becomes possible to...
In this paper, we propose a novel method to reduce the magnitude of 4D CT artifacts by stitching two images with a data-driven regularization constrain, which helps preserve the l...
Dongfeng Han, John Bayouth, Qi Song, sudershan Bha...
The filter flow problem is to compute a space-variant
linear filter that transforms one image into another. This
framework encompasses a broad range of transformations
including...
The problem of human activity recognition via visual stimuli can be approached using manifold learning, since the silhouette (binary) images of a person undergoing a smooth motion...
Tat-Jun Chin, Liang Wang, Konrad Schindler, David ...
This paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), w...