3D reconstruction by combining shape from silhouette with stereo

Lin, Huei-Yung; Wu, Jing-Ren

doi:10.1109/icpr.2008.4761016

Cited by 15 publications

(8 citation statements)

References 13 publications

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“…In order to estimate t a 2-point-based approach is introduced in the next sub-section. Then considering W R V from (7) and t = [ t 1 t 2 t 3 ] T as the translation vector, (13) can be rewritten as In the previous section, the homography transformation between image plane of a virtual camera and a world virtual plane (p) was obtained. Here we continue to explain what would be the homography transformation between the images of two virtual cameras.…”

Section: Homography Between Virtual Image and Scene's Virtual Planementioning

confidence: 99%

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Three-dimensional reconstruction based on multiple virtual planes by using fusion-based camera network

Aliakbarpour

Dias

2012

IET Comput. Vis.

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A novel approach for three-dimensional (3D) volumetric reconstruction of an object inside a scene is proposed. A camera network is used to observe the scene. Each camera within the network is rigidly coupled with an Inertial Sensor (IS). A virtual camera is defined for each IS -camera couple using the concept of infinite homography, by fusion of inertial and visual information. Using the inertial data and without planar ground assumption, a set of virtual horizontal planes are defined. The intersections of these inertial-based virtual planes with the object are registered using the concept of planar homography. Moreover a method to estimate the translation vectors among virtual cameras is proposed, which just needs the relative heights of two 3D points in the scene with respect to one of the cameras and their correspondences on the image planes. Different experimental results for the proposed 3D reconstruction method are provided on two different types of scenarios. In the first type, a single IS -camera couple is used and placed in different locations around the object. In the second type, the 3D reconstruction of a walking person (dynamic case) is performed where a set of installed cameras in a smart-room is used for the data acquisition. Moreover, a set of experiments are simulated to analyse the accuracy of the translation estimation method. The experimental results show the feasibility and effectiveness of the proposed framework for the purpose of multi-layer data registration and volumetric reconstruction.

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Section: Homography Between Virtual Image and Scene's Virtual Planementioning

confidence: 99%

“…Zhang and Li [12] proposed a dynamic calibration and 3D reconstruction by using homography transformation. In [13], SFS is combined with stereo imaging for the sake of 3D reconstruction by Lin. Michoud [14] proposed a method to eliminate appearing ghost object in SFS-based 3D reconstructions.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional reconstruction based on multiple virtual planes by using fusion-based camera network

Aliakbarpour

Dias

2012

IET Comput. Vis.

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“…This method can only reconstruct a rough 3D model, but it requires less computation time. See Lin and Wu (2008) for more details. We then adopt the powercrust algorithm (Amenta et al, 2001;Aurenhammer, 1991;Lee and Schachter, 1980) to generate the meshes connecting all 3D points with their neighbours.…”

Section: D Reconstructionmentioning

confidence: 99%

Novel view image synthesis based on photo-consistent 3D model deformation

Chia

Lin

2013

IJCSE

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In this paper, a system is designed for improving the quality of novel view synthesis. To make the virtual view synthesis look better, the basic idea is to perform model refinement with important camera information of the novel view. In this system, we first use the reconstructed visual hull from shape from silhouette and then refine this 3D model based on the view dependency. The 3D points of the model are classified into the outline points and the non-outline points according to the virtual viewpoint. To refine the model, both of the outline points and the non-outline points are used to move the 3D points iteratively by minimising energy function until convergence. The key energy is the photo-consistency energy with additional smoothness energy and contour/visual hull energy. The latter two energy terms can avoid the local minimum when calculating the photo-consistency energy. Finally, we render the novel view image using view-dependent image synthesis by blending the pixel values from reference cameras near the virtual camera.

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“…A camera calibration technique using the checkerboard method identified intrinsic and extrinsic parameters. Note that before using the OpenCV for calibration, we also need to convert the raw data from Kinect into metric data (Lin and Wu, 2008), after which the point cloud information can be acquired. We then verify the surface visually using OpenGL (Open Graphics Library).…”

Section: System Overviewmentioning

confidence: 99%

Kinect quality enhancement for triangular mesh reconstruction with applications in burn care

Ruchanurucks

Khongma

Rakprayoon

et al. 2013

Transactions of the Institute of Measurement and Control

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This research presents a method to enhance the accuracy of Kinect’s depth data. The enhanced accuracy is especially useful for triangular mesh reconstruction. Performing such a reconstruction directly from Kinect’s data is erroneous. We show that using a spatial filtering technique can help to reduce such errors considerably. We further apply such a technique for human surface reconstruction in order to assist doctors in a hospital’s burn care unit. Body surface area is estimated by Heron’s formula. Kinect calibration is also documented in this work.

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3D reconstruction by combining shape from silhouette with stereo

Cited by 15 publications

References 13 publications

Three-dimensional reconstruction based on multiple virtual planes by using fusion-based camera network

Three-dimensional reconstruction based on multiple virtual planes by using fusion-based camera network

Novel view image synthesis based on photo-consistent 3D model deformation

Kinect quality enhancement for triangular mesh reconstruction with applications in burn care

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