Topo-geometric Shape Model for 3d Object Representation
نویسندگان
چکیده
We propose a new method for representing the topology and geometry of 2D compact surfaces embedded in a three-dimensional space. Topology is modeled through a skeletal graph, where a distance function is employed as a Morse function. Invariance to rigid transformations follows directly from this choice of Morse function. Geometry is captured by modeling the evolution of level curves of the distance function along topologically homogenous parts of the surface, which in turn correspond to various graph edges. Combining topological and geometric information leads to a weighted skeletal graph representation of a surface, which is sufficient for reconstructing the original surface. The uniqueness and completeness of representation make the method particularly suitable for shape recognition applications, where weighted graph isomorphism may be employed.
منابع مشابه
3D ShapeNets: A Deep Representation for Volumetric Shape Modeling
3D shape is a crucial but heavily underutilized cue in today’s computer vision system, mostly due to the lack of a good generic shape representation. With the recent availability of inexpensive 2.5D depth sensors (e.g. Microsoft Kinect), it is becoming increasingly important to have a powerful 3D shape model in the loop. Apart from object recognition on 2.5D depth maps, recovering these incompl...
متن کاملA novel Local feature descriptor using the Mercator projection for 3D object recognition
Point cloud processing is a rapidly growing research area of computer vision. Introducing of cheap range sensors has made a great interest in the point cloud processing and 3D object recognition. 3D object recognition methods can be divided into two categories: global and local feature-based methods. Global features describe the entire model shape whereas local features encode the neighborhood ...
متن کاملDynamic Query Interface for 3d Shape Search
Our 3D Engineering Shape Search System (3DESS), which uses the skeletal graph as one of its shape features to represent objects, has revealed the potential of graph-based representation for searching 3D models. In this paper, a dynamic user interface, which allows a user to customize the query by reusing the existing skeletal graph, shows another merit of the skeletal graph representation. This...
متن کامل3D Models Recognition in Fourier Domain Using Compression of the Spherical Mesh up to the Models Surface
Representing 3D models in diverse fields have automatically paved the way of storing, indexing, classifying, and retrieving 3D objects. Classification and retrieval of 3D models demand that the 3D models represent in a way to capture the local and global shape specifications of the object. This requires establishing a 3D descriptor or signature that summarizes the pivotal shape properties of th...
متن کاملShape Inferencing and Modeling for Semantic Video RetrievalZhibin
In this paper we present a geometry based indexing method for the semantic retrieval of large video databases. It combines two separate modules, i.e., 3D object shape inferencing from a video sequence and geometric modeling from the reconstructed shape, to achieve better performance. First, a motion-based segmentation algorithm employing feature block tracking and hierarchical principal compone...
متن کامل