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The underwater 3D reconstruction cartography has made great progress in the last decade. The work presented in this paper is about the analysis and 3D reconstruction of archeological objects. Using a calibrated single camera and an uncalibrated system, we propose to describe a method to perform the Euclidian 3D reconstruction of unknown objects. A comparison of two methods is presented and tested...
During the repair of archaeological artifacts broken into pieces, there are positioning problems similar to when putting together a jigsaw puzzle. This study describes a computer-assisted system to conveniently reconstruct archaeological discoveries from fragments. A hybrid method based on a genetic algorithm and a hill-climbing algorithm was proposed and evaluated to rebuild a 3D object. Using the...
Current approaches for 3D reconstruction from feature points of images are classed as sparse and dense techniques. However, the sparse approaches are insufficient for surface reconstruction since only sparsely distributed feature points are presented. Further, existing dense reconstruction approaches require pre-calibrated camera orientation, which limits the applicability and flexibility. This paper...
In this paper, we propose a construction defect management system using augmented reality (AR) technology that augments virtual objects to input images in real time using a single camera. The proposed method checks construction error using an AR technique that extracts feature points using a marker from three-dimensional scenes projected as images and tracks them to estimate the camera position information...
The increasing demand for live multimedia systems in gaming, art and entertainment industries, has resulted in the development of multiview capturing systems that use camera arrays. We investigate sparse (widely spaced) camera arrays to capture scenes of large volume space. A vital aspect of such systems is camera calibration, which provides an understanding of the scene geometry used for 3D reconstruction...
In this paper, an efficient algorithm for 3D Reconstruction and Depth measurement using stereo images is presented. In this algorithm, key-points are extracted using SIFT feature point detection method. Fundamental matrix in the epipolar geometry is calculated and camera calibration is done. Next, rectification is done with the calibrated images. Finally, depth is measured using disparity map generation...
This paper presents an on-the-move pedestrian detection system that utilizes multiple sensor modalities to improve detection rates at deployable computational loads. The system was developed for a vehicle moving up to 40 kph that can detect moving pedestrians up to a distance of 50m, with support for both day and night operations. In the day, 3D pointclouds obtained from an 8-layer LIDAR sensor are...
We present a nose tip detection method using a novel 3D local shape descriptor called DF (Distance based Fourier) descriptor that is rotationally invariant. The DF descriptor allows us to control the degree of descriptiveness depending on the complexity of object shape. When combined with SVM (Support Vector Machine), the DF descriptor proves powerful for nose tip detection. The detection method also...
In this paper, we present on the research of semantic-based 3D model retrieval system and its developed framework. We use RDF annotation to label 3D models for improving retrieval precision. The framework contains three parts: preprocessing, feature extraction and similarity measurement. The parts are recommended to analyze the 3D model. In the preprocessing part, we deploy PCA to make models normalization...
Recent technological advances have led to an increasing popularity of 3D gesture-based interfaces, in particular in gaming and entertainment consoles. However, unlike 2D gestures, which have been successfully utilized in many multi-touch devices, developing a 3D gesture-based interface is not an easy endeavor. Reasons include the complexity of capturing human movements in 3D and the difficulties associated...
Fractal dimension has not been an effective feature for authentication using the iris. An attempt is made in this paper to explore its effectiveness on iris texture by deriving it from the features obtained using the Information Set based methods. In addition to this, a surface finish measurement tool called Topothesy is also employed for determining the fractal dimension. The well-known Box-Counting...
This paper describes a fractal-based keypoint computation method for solid textures. Solid textures have been used for a number of years for various applications including medical imaging, geographical data analysis and biological data analysis. It is important to accurately compute pattern features from solid textures, because pattern features can be used for classifications, detections, and retrievals...
Visual Sonification is the process of converting visual properties of objects into sound signals. This paper describes the Michigan Visual Sonification System (MVSS) that utilizes this process to assist the visually impaired in distinguishing different objects in their surroundings. MVSS uses depth information to first segment and localize salient objects and then represents an object's appearance...
In sports broadcasts, networks consisting of pan-tilt-zoom (PTZ) cameras usually exhibit very wide baselines, making standard matching techniques for camera calibration very hard to apply. If, additionally, there is a lack of texture, finding corresponding image regions becomes almost impossible. However, such networks are often set up to observe dynamic scenes on a ground plane. Corresponding image...
Point-based targets, such as checkerboards, are often not practical for outdoor camera calibration, as cameras are usually at significant heights requiring extremely large calibration patterns on the ground. Fortunately, it is possible to make use of existing non-point landmarks in the scene by formulating camera calibration in terms of image alignment. In this paper, we simultaneously estimate the...
This paper outlines a Nose tip localization technique in case of 2.5D as well as 3D meshes. No normalization process is applied and the process correctly localizes nose tip across any pose (including rotation in any direction in 3D space namely about x-axis, y-axis and z-axis).The present technique works by taking a facial image as input, and after which a thresholding process is applied to remove...
We have built a system for visualizing the body motion and center of gravity of dancers using motion capture system and studied classifications of dance motion using the motion of the center of gravity. The results suggest that for the segment of motion analyzed in this study, we should be able to classify dancers into four of the five main schools of Nihon Buyo, regardless of the age group of the...
This paper demonstrates the feasibility of recovering fine-scale plant structure in 3D point clouds by leveraging recent advances in structure from motion and 3D point cloud segmentation techniques. The proposed pipeline is designed to be applicable to a broad variety of agricultural crops. A particular agricultural application is described, motivated by the need to estimate crop yield during the...
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