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Found 10 papers, 1 papers with code
Concise Plane Arrangements for Low-Poly Surface and Volume Modelling
We introduce two key novelties that enable the construction of plane arrangements for complex objects and entire scenes: an ordering scheme for the plane insertion and the direct use of input points during arrangement construction.
3D detection of roof sections from a single satellite image and application to LOD2-building reconstruction
We here propose a method for urban 3D reconstruction named KIBS(\textit{Keypoints Inference By Segmentation}), which comprises two novel features: i) a full deep learning approach for the 3D detection of the roof sections, and ii) only one single (non-orthogonal) satellite raster image as model input.
SCR: Smooth Contour Regression with Geometric Priors
While object detection methods traditionally make use of pixel-level masks or bounding boxes, alternative representations such as polygons or active contours have recently emerged.
Finding Good Configurations of Planar Primitives in Unorganized Point Clouds
We present an algorithm for detecting planar primitives from unorganized 3D point clouds.
Road Extraction from Overhead Images with Graph Neural Networks
By contrast, we propose a method that directly infers the final road graph in a single pass.
Planar Shape Detection at Structural Scales
Interpreting 3D data such as point clouds or surface meshes depends heavily on the scale of observation.
KIPPI: KInetic Polygonal Partitioning of Images
Recent works showed that floating polygons can be an interesting alternative to traditional superpixels, especially for analyzing scenes with strong geometric signatures, as man-made environments.
Line Drawing Interpretation in a Multi-View Context
Many design tasks involve the creation of new objects in the context of an existing scene.
Image Partitioning Into Convex Polygons
The over-segmentation of images into atomic regions has become a standard and powerful tool in Vision.
Recovering Line-Networks in Images by Junction-Point Processes
Our experiments on a variety of problems illustrate the potential of our approach in terms of accuracy, flexibility and efficiency.
