3D Shape Retrieval Method based on Normal-Angle Histogram
نویسنده
چکیده
This paper puts forward 3D model retrieval method based on normal-angle histogram. The method firstly makes the pretreatment for 3D model, and defines the calculation method of the normal at every vertex of the triangular mesh in 3D model and the included angle among the triangular meshes. Then it classifies the triangular mesh in accordance with the normal at three vertexes of the triangular mesh and the included angle among the triangular meshes, and divides the triangular mesh into four types as per the included angle whether acute angle or obtuse angle, constructs the shape distribution curve for every type of triangular mesh collection, obtains the similarity of two shapes by comparison of four shape distribution curves of 3D model, and accordingly realizes the similarity retrieval of 3D model. The test indicates that the retrieval accuracy rate and the retrieval efficiency of the algorithm are superior to other similar histogram algorithm.
منابع مشابه
A flower image retrieval method based on ROI feature.
Flower image retrieval is a very important step for computer-aided plant species recognition. In this paper, we propose an efficient segmentation method based on color clustering and domain knowledge to extract flower regions from flower images. For flower retrieval, we use the color histogram of a flower region to characterize the color features of flower and two shape-based features sets, Cen...
متن کاملNew Composite Shape and Texture Descriptors for 3D Model Retrieval
Nowadays, problem of shape and texture for 3D retrieval is still a challenge research. Although several methods exist, but we still have a space to improve the performance. In this paper, we aim to improve our previous 3D shape features and inserting texture features. We first do pose normalization as a process of adjusting the size, location, and orientation of a given object in a canonical sp...
متن کاملA Method Using Morphology and Histogram for Object-based Retrieval in Image and Video Databases
We propose a method for object-based retrieval in image and video databases. In doing so, both color and shape information is taken into account to enrich the querying capabilities for object-based retrieval. The morphological operations are performed on each uniform color region. We use three kinds of histograms: color histogram, distance histogram, and angle histogram. It is shown that the pr...
متن کامل3D model retrieval using global and local radial distances
3D model retrieval techniques can be classified as histogram-based, view-based and graph-based approaches. We propose a hybrid shape descriptor which combines the global and local radial distance features by utilizing the histogram-based and view-based approaches respectively. We define an area-weighted global radial distance with respect to the center of the bounding sphere of the model and en...
متن کامل3D Similarity Search Using a Weighted Structural Histogram Representation
A fast and robust 3D retrieval method is proposed based on a novel weighted structural histogram representation. Our method has the following steps: 1) adaptively segment any 3D shape into a group of meaningful parts to generate local distribution matrixes, 2) integrate all the local distribution matrixes into a global distribution matrix, simultaneously considering their weight factors, and 3)...
متن کامل