Search results for "Object Modeling"
showing 5 items of 5 documents
3D Object Modeling by Sharing Visual Attributes across Poses and Scales
2014
Scene parsing aims at understanding a scene and the arrangements of the objects in it. While this is a task human beings are pretty good at [7], a machine needs to: recognize the kind of scene (indoor vs outdoor, bedroom vs. living room etc.)[4], detect and recognize 3D objects across multiple poses and scales [8, 5], infer the geometrical arrangement of the objects in the scene [2, 1], etc.. In the proposed framework, a 3D object is modeled as a graph. Each node in the graph represents a visual attribute automatically discovered by considering features that are consistently and repeatedly present across different poses and scales. Such visual attributes are different from “parts” [5], whic…
Video object recognition and modeling by SIFT matching optimization
2014
In this paper we present a novel technique for object modeling and object recognition in video. Given a set of videos containing 360 degrees views of objects we compute a model for each object, then we analyze short videos to determine if the object depicted in the video is one of the modeled objects. The object model is built from a video spanning a 360 degree view of the object taken against a uniform background. In order to create the object model, the proposed techniques selects a few representative frames from each video and local features of such frames. The object recognition is performed selecting a few frames from the query video, extracting local features from each frame and looki…
Views selection for SIFT based object modeling and recognition
2016
In this paper we focus on automatically learning object models in the framework of keypoint based object recognition. The proposed method uses a collection of views of the objects to build the model. For each object the collection is composed of N×M views obtained rotating the object around its vertical and horizontal axis. As keypoint based object recognition using a complete set of views is computationally expensive, we focused on the definition of a selection method that creates, for each object, a subset of the initial views that visually summarize the characteristics of the object and should be suited for recognition. We select the views by determining maxima and minima of a function, …
Mesh connectivity compression using convection reconstruction
2007
International audience; During a highly productive period running from 1995 to about 2002, the research in lossless compression of 3D meshes mainly consisted in a hard battle for the best bitrates. But for a few years, compression rates seem stabilized around 1.5 bit per vertex for the connectivity coding of usual meshes, and more and more work is dedicated to remeshing, lossy compression, or gigantic mesh compression, where memory and CPU optimizations are the new priority. However, the size of 3D models keeps growing, and many application fields keep requiring lossless compression. In this paper, we present a new contribution for single-rate lossless connectivity compression, which first …
Modélisation géométrique de formes fractales pour la CAO
2020
International audience