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This paper presents a new flying sensor system to capture 3D data aerially. The hardware system, consisting of a omni-directional laser scanner and a panoramic camera, can be mounted under a mobile platform (e.g., a balloon or a crane) to achieve the aerial scanning with high resolution and accuracy. Since the laser scanner often requires several minutes to complete an omni-directional scan, the raw...
3D shape comparison with digital copies draws increasing attention in modern culture heritage studies. In this paper, we focus on analyzing portrait sculptures of Augustus with 3D scanned data. A feasible framework of automatic object categorization is proposed based on shape comparison, where distinguishing regions are simultaneously detected as well. High coincidence between our result and previous...
In this paper, we propose a level set based automatic building extraction method using prior shapes. We introduce a variable shape model which together with the level set function for segmentation dynamically indicates the region with which the prior shape should be compared. Our model is capable of segmenting an object from an image based on the image intensity as well as the prior shape. In addition,...
This research paper aims at extracting features, especially the plane feature, of building from Light Detection And Ranging (LiDAR) point clouds in Urban Area, and with these features and information to build the model of object. Unlike modeling object in other fields, such as reverse engineering, surfaces of building usually consist of abundant big and plane surfaces which are significant features...
With the growing number of digital multimedia libraries, the need to efficiently index multimedia information is increasing, detecting and extracting the text information from images plays an important part in images indexing based on content. In the paper, a new text extraction algorithm under background image based on two-dimensional wavelet transforms is proposed. For the algorithm, firstly the...
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