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In order to solve the copyright issues brought by the distributed rendering system for three-dimensional model, we present this blind watermarking algorithm with high transparency and robustness. In the generation step, we compressed the original watermark information using the UGM model of gray system, for reducing the amount of information embedded in watermark. In the embedding step, we replace...
This research aims at improving efficiency and variety of shoe-lasts modeling in the footwear industry. A novel digital method is proposed for customized shoe-last modeling based on the analysis and research of human foot features and the shoe-last design theory. The method uses 3D foot data measured from human feet, combines with shoe-last design specifications and the force analysis of feet-shoe...
Several applications require accurate and efficient object duplicate detection methods, such as automatic video and image tag propagation, video surveillance, and high level image or video search. In this paper, we explore the limits of our recently proposed graph-based object duplicate detection method. The dependency of the performance with respect to the number of training images is assessed and...
Multiple-point geostatistics (MPS) simulation originates from geostatistical fields and allows extracting multiple-point structures from training images, after that MPS can copy these structures to the regions to be simulated. Porosity is quite significant to the characterization and prediction of transport properties. To simulate the porosity value, a porosity simulation method using continuous MPS...
This paper proposes an innovative solution to the problem of extracting feature nodes from a 3D model and grouping nearby feature nodes according to the likelihood that they belong to the same feature. The technique is designed specifically with the problem of detecting unwanted deformations on automotive body part in mind, where feature line detection will not always give the best results. Using...
This paper proposes the feature descriptor for 3D model similarity search using the distribution of normal directions on the simplified surface. Feature descriptor of 3D model should be invariant to translation, rotation and scale for its model. So this paper normalizes all the model using PCA and preprocesses surface mesh simplification to robust against noise. The normal is sampled in proportion...
This paper presents a feature based 3D mapping approach with regard to obtaining compact models of semi-structured environments such as partially destroyed buildings where mobile robots are to carry out rescue activities. To gather the 3D data, we use a laser scanner, employing a nodding data acquisition system mounted on both real and simulated robots. Our segmentation algorithm comes up from the...
In this paper, we present a fully automatic system for face recognition based on a silhouette of the face profile. Previous research has demonstrated the high discriminative potential of this biometric. However, for the successful employment of this characteristic one is confronted with many challenges, such as the sensitivity of a profile's geometry to face rotation and the difficulty of accurate...
Statistical shape model (SSM) is to model the shape variation of an object. The statistical shape models are constructed by analysis of the positions of a set of landmark points based and use the surface information. In this paper, we propose a new PCA based statistical shape modeling technique and its application to medical applications. In the proposed method, boundary points of each slice are used...
In this paper, we propose a novel wavelet moment-based surface light source (WM-SLS) descriptor and enhanced Gaussian potential function-based silhouette (GPF-S) descriptor, and on the basis of combination with Adaboost relevance feedback, to build a 3D model retrieval of two-stage strategy. PCA method for model normalization is introduced to obtain optimal bounding box at first. Secondly, the first...
A novel 3D model segmentation and retrieval method was introduced in this paper that is based on the topological information and partial geometry features of 3D mode. The proposed algorithm extracts feature for every triangular piece using flatness of a triangular, and partitions the 3D model into a set of triangular pieces with different flatness. Then, a watershed-based algorithm is developed and...
This paper highlights 3D building rooftop detection procedure based on 3D line data. Our approach begins with area-based stereo matching method to generate digital elevation map (DEM). Subpixel interpolation, normalized cross correlation and multi-resolution scheme are employed to generate an elaborate DEM. 3D lines are evaluated by using line fitting of DEM on 2D line coordinates of ortho-image....
With the development of computer techniques, 3D model has been used more and more widely and content-based 3D model retrieval has been a hotspot in the area of multimedia information retrieval. How to extract 3D models' feature effectively is still a difficulty. Projection based 3D model feature extraction is an important kind in feature extraction, because of its robustness against noise, simplification...
As the key problem of content-based three-dimensional model retrieval, feature extraction methods do not achieve ideal performance at present. Most of past feature extraction methods just utilize the attributes of the model itself. Therefore, it is a promising direction to utilize the categorization information in the process of feature extraction. According to the fact that models in the same category...
Sectional views are widely used in engineering practice due to their clear and concise expression. However, large numbers of entities are missing in sectional views that makes it hard for computer to understand drawings. Feature identification is the key procedure for solids reconstruction from sectional views. Based on the analysis of the default drawing rules appearing in sectional views, a new...
Detailed models are required in computer graphics for many applications. However, considering the processing and transporting time, it is often necessary to approximate these models. In this paper we provide an effective simplification method for mesh models, which decreases the size of complex models and keeps visual features. We employ the integral invariant to distinguish the desired features on...
For huge quantity of point cloud data gotten from ancient buildings, the common algorithms (e.g. the Hough Transform) can do extract relative features but their efficiency and time expense are not acceptable. In order to improve the data process efficiency and reconstruct their 3D models quickly, more effective and more practicable algorithms should be developed. Here introduce a new algorithm for...
In this paper we present a new approach to detect and recognize 3D models in 2D storyboards which have been drawn during the production process of animated cartoons. Our method is robust to occlusion, scale and rotation. The lack of texture and color makes it difficult to extract local features of the target object from the sketched storyboard. Therefore the existing approaches using local descriptors...
This paper proposes a Euclidean-geodesic shape distribution for the more accurate retrieval of time-varying meshes, which are 3D mesh sequences of real-world objects generated by multiple cameras. The Euclidean-geodesic shape distribution derives from a combination of the modified shape distribution algorithm, which analyzes the global shape features of 3D models, and the geodesic shape distribution...
Efficient view registration with respect to a given 3D reconstruction has many applications like inside-out tracking in indoor and outdoor environments, and geo-locating images from large photo collections. We present a fast location recognition technique based on structure from motion point clouds. Vocabulary tree-based indexing of features directly returns relevant fragments of 3D models instead...
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