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This paper describes the new method for measuring the shape of the front surface and the rear surface of a transparent object is difficult because a light does not reflect largely on the surface but mostly penetrate in the object. The proposed use the slightly reflected light on the surface of the transparent object. The experimental results show the usefulness of the proposed method for shape measurement...
We present a learning framework for abstracting complex shapes by learning to assemble objects using 3D volumetric primitives. In addition to generating simple and geometrically interpretable explanations of 3D objects, our framework also allows us to automatically discover and exploit consistent structure in the data. We demonstrate that using our method allows predicting shape representations which...
We present a method for 3D shape reconstruction of inextensible deformable surfaces from a single image. The key of our approach is to represent the surface as a 3D triangulated mesh and formulate the reconstruction problem as a sequence of Linear Programming (LP) problems. We use a closed-form method to generate an initial structure, then refine this structure by solving the LP problem iteratively...
A movable three-dimensional measurement system of the shape of a path (road) surface has been developed. The measurement can be taken by rolling the proposed measurement cart along the path. The measurement system is composed of a laser scanner, CCD camera, omni-directional camera and a computer. The laser scanner measures the cross-sectional shape of the path at a rate of 40 Hz. The direction of...
In computer vision, tracking human pose has received a growing attention in recent years. The existing methods used multi-view videos and camera calibrations to enhance the shape of the object in 3D view. In this paper, tracking and partial reconstruction of the shape of the object from a single view video is identified. The goal of the proposed integrated method is to detect the movement of a person...
In order to overcome the shortcomings of the shape from shading (SFS) algorithm in items of clearness and smoothness of silhouette in reconstructed objects, a modified SFS algorithm is proposed in this paper. Firstly, we determine the primary factors affecting reconstruction by analyzing the Lambertian light reflection model. Secondly, we perform image restoration and background smoothing by extracting...
Shape from shading (SFS) is one of the most fundamental problems in Computer Vision: reconstruction of the three-dimensional (3D) shape of photographed objects given a single input image. Image formation is then modelled based on assumptions on illumination and light reflectance. Solving the 3D shape from the model is useful for many applications. SFS has been extended, for example, to several input...
In this paper, we reconstruct 3D shape from a single image. We use level set method to solve the Eikonal equation which can obtained from the method of shape from shading (SFS). However, the results are not usually usable due to the concave-convex ambiguity problems inherent to SFS, so we find out the boundary of the concave-convex ambiguities according to the flatness of the triangle faces and use...
Image segmentation is a chief and basic issue in the field of image analysis as well as pattern recognition. Meanwhile, it is also the classical puzzle in image processing. And the watershed transform is a powerful morphological tool for image segmentation. But its short-coming is to cause over-segmentation. Therefore, labeling watershed algorithm has been presented in this paper. Firstly, a bilateral...
One of the most remarkable facts of the human visual system is that it rapidly and accurately understands the characteristics of the complex visual world - the relative depth with respect to different objects in the scene, occluded objects in the scene, etc. due to prior experience and knowledge about the scene. The various types of tasks related to understanding what we see in a visual scene is called...
It is now the case that well-performing flash LIDAR focal plane array devices are commercially available. Such devices give us the ability to measure and record frame-registered 3D point cloud sequences at video frame rates. For many 3D computer vision applications this allows the processes of structure from motion or multi-view stereo reconstruction to be circumvented. This allows us to construct...
3D model reconstruction is an important issue in computer graphics, computer vision and virtual reality. This paper presents a new method in rapid reconstruction of detailed 3D surface models from a small number, e.g. 3-4, of 2D silhouettes of objects taken from different views. A statistical shape model is used to fit a set of landmarks points, which are automatically created from the 2D silhouettes,...
AAOur aim is the coding of image with XML text, the decoding of such descriptors and the reconstruction of the corresponding shapes. The image is assumed segmented into regions and each one is considered as shape. We present firstly a review of the textual format (LWDOS: Language for Writing Descriptors of Outline Shapes) proposed in the literature to write the geometrical description of parts and...
We present a method for 3D shape reconstruction of inextensible deformable surfaces from monocular image sequences. The key of our approach is to represent the surface as 3D triangulated mesh and formulate the reconstruction problem as a sequence of Linear Programming (LP) problems which can be effectively solved. The LP problem consists of data constraints which are 3D-to-2D keypoint correspondences...
This paper presents a 3D computer vision method that assists the tedious procedure of manually reconstructing ceramic vessels from fragments unearthed in an archaeological excavation. This computational method relies on vessel surface markings combined with expert feedback (via the archaeologist) to form a generic model of a vessel that the excavated fragments might have originated from. Prior expert...
Due to the lack of explicit spatial consideration, existing epitome model may fail for image recognition and target detection, which directly motivates us to propose the so-called spatialized epitome in this paper. Extended from the original graphical model of epitome, the spatialized epitome provides a general framework to integrate both appearance and spatial arrangement of patches in the image...
Recent works have shown that 3D shape of non-rigid surfaces can be accurately retrieved from a single image given a set of 3D-to-2D correspondences between that image and another one for which the shape is known. However, existing approaches assume that such correspondences can be readily established, which is not necessarily true when large deformations produce significant appearance changes between...
We present a passive computer vision method that exploits existing mapping and navigation databases in order to automatically create 3D building models. Our method defines a grammar for representing changes in building geometry that approximately follow the Manhattan-world assumption which states there is a predominance of three mutually orthogonal directions in the scene. By using multiple calibrated...
This paper investigates the optimal 3D modeling solution for making free-viewpoint video in a soccer stadium. We compare a player-billboard method and a 3D reconstructing method that exploits a shape-from-silhouette approach. To examine the influence of noise and the number of cameras used to make the free-viewpoint video, we produce a CG simulation of a soccer player in action and conduct subject-based...
This paper presents a method for vision based estimation of the pose of human hands in interaction with objects. Despite the fact that most robotics applications of human hand tracking involve grasping and manipulation of objects, the majority of methods in the literature assume a free hand, isolated from the surrounding environment. Our hand tracking method is non-parametric, performing a nearest...
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