Topic
Distance transform
About: Distance transform is a research topic. Over the lifetime, 2886 publications have been published within this topic receiving 59481 citations.
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TL;DR: A new method of modeling heterogeneous object with varying material distribution is presented, which has the most significant advantage is that its geometry model and material information can easily be sliced into a series of 2D layers, so it is convenient for theheterogeneous object to be fabricated using layered manufacturing machine.
15 citations
TL;DR: The results demonstrate that the proposed robust VO achieves more accurate and more stable localization than the state-of-the-art robust VO or SLAM approaches in dynamic environments.
15 citations
TL;DR: This paper proposed a new shape-modeling paradigm based on the concept of Lagrangian surface flow that allows the user to work directly on existing polygonal models without any intermediate model conversion and also works for mesh models with open boundaries.
Abstract: In this paper, we propose a new shape-modeling paradigm based on the concept of Lagrangian surface flow. Given an input polygonal model, the user interactively defines a distance field around regions of interest; the locally or globally affected regions will then automatically deform according to the user-defined distance field. During the deformation process, the model can always maintain its regularity and can properly modify its topology by topology merging when collisions between two different parts of the model occur. Comparing with level-set based methods, our algorithm allows the user to work directly on existing polygonal models without any intermediate model conversion. Besides closed polygonal models, our algorithm also works for mesh models with open boundaries. Within our framework, we developed a number of shape-modeling operators including blending, cutting, drilling, free-hand sketching, and mesh warping. We applied our algorithm to a variety of examples that demonstrate the usefulness and efficacy of the new technique in interactive shape design and surface deformation.
15 citations
01 Jan 1992
15 citations
11 Apr 2009
TL;DR: A modified Hausdorff distance is proposed based on an edge point using its position and the strength of its gradient to define a 3D distance function, and its application in object matching problems is investigated.
Abstract: Conventional object matching algorithms based on Hausdorff distance mostly use edge position information to compute distances. In this paper we represent an edge point using its position and the strength of its gradient to define a 3D distance function. We propose a modified Hausdorff distance based on this 3D distance function, and investigate its application in object matching problems. Finally, experimental comparisons are performed with conventional methods. At this stage, we tested different methods on the images with different levels of noise. Their sensitivities to geometric distortion are also evaluated against image rotation and scale change. Experimental results show that the proposed algorithm is more robust and reliable.
15 citations