Browsing by Author "Bae, Egil"
Now showing items 1-5 of 5
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Augmented Lagrangian method for an Euler's elastica based segmentation model that promotes convex contours
Bae, Egil; Tai, Xue-Cheng; Wei, Zhu (2017)In this paper, we propose an image segmentation model where an L1 variant of the Euler's elastica energy is used as boundary regularization. An interesting feature of this model lies in its preference for convex segmentation ... -
Automatic object recognition within point clouds in clustered or scattered scenes
Bae, Egil (2020)We consider the problem of automatically locating, classifying and identifying an object within a point cloud that has been acquired by scanning a scene with a ladar. The recent work [E. Bae, Automatic scene understanding ... -
Automatic scene understanding and object identification in point clouds
Bae, Egil (2019-10-10)A ladar can acquire a dense set of 3D coordinates of a scene, a so-called point cloud, in sub-second time from ranges of several kilometers. This paper presents algorithms for segmenting a point cloud into meaningful classes ... -
Convex Variational Methods on Graphs for Multiclass Segmentation of High-Dimensional Data and Point Clouds
Bae, Egil; Merkurjev, Ekaterina (2017)Graph-based variational methods have recently shown to be highly competitive for various classification problems of high-dimensional data, but are inherently difficult to handle from an optimization perspective. This ... -
Simplified energy landscape for modularity using total variation
Boyd, Zachary; Bae, Egil; Tai, Xue-Cheng; Bertozzi, Andrea L. (2018)Networks capture pairwise interactions between entities and are frequently used in applications such as social networks, food networks, and protein interaction networks, to name a few. Communities, cohesive groups of nodes, ...