An Approach to 3D Building Model Retrieval Based on Topology Structure and View Feature

Liu, Tao; Jin, Guojun; Zhao, Yuchen

doi:10.1109/access.2018.2846759

Cited by 5 publications

(2 citation statements)

References 38 publications

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“…The reverse engineering process includes phases like data acquisition, pre-processing data, segmentation, and computer-aided design (CAD) model building. 3D points-data representations of ordinary objects may be produced by doing discrete sampling utilizing 3D scans and 3D measurement devices [15]. However, because of the complexity of the morphology of human anatomy, particularly for tissue and organs, a standard technique is to acquire 2D medicinal slices of the human body like CT/ MRI.…”

Section: Framework Of the Proposed Methodsmentioning

confidence: 99%

A Novel Method Based on Interpolation for Accurate 3D Reconstruction from CT Images

2023

IJIES

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In intervention procedures or planning for joint replacement, the models developed must be precise and represent the natural look of the bones. For instance, the function of the knee joint is dependent on the motion of the femur. Therefore, precisely reconstructing the femur model assists in the design of the components for joint replacement. Moreover, when accurate measurements are taken for implant design, these models have a high effect on their accuracy. As a result, obtaining accurate 3D models of human bone tissue is important. Therefore, this paper proposes a novel method for accurate bone tissue reconstruction from CT data. The method is based on histogram modelling, interpolation, and reverse engineering techniques. Initially, soft tissues and unwanted artifacts are eliminated in order to extract the ROI (bone). After that, feature points are extracted based on pixel variance from each slice and then interpolated to create a 3D point cloud. Finally, a 3D model is created from point cloud data. Additionally, the model is printed using a 3D printer based on the FDM technique. Furthermore, the method is tested on CT stacks of femur and sheep bone in order to evaluate its strength and performance. Results indicated that the feature points collected by the proposed method could accurately describe the bone geometry. The error percentage between the proposed method and the actual bone was approximately 1.62%. The results indicate that the proposed method provides promising outcomes. Furthermore, the 3D model of bone is more compatible with the real bone.

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Section: Framework Of the Proposed Methodsmentioning

confidence: 99%

A Novel Method Based on Interpolation for Accurate 3D Reconstruction from CT Images

2023

IJIES

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“…Step2: compute the geometric difference between the mesh and the height field simplification mesh. This calculation is a quite common task in mesh processing [24], [25]. However, many accurate comparison algorithms are computationally inefficient.…”

Section: A Judgment Of Height Field Representationmentioning

confidence: 99%

An Approach to Global Illumination Calculation Based on Hybrid Cone Tracing

2020

Self Cite

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For 3D geographic information systems (GIS) or video game systems, global illumination (GI) effect can greatly improve the understanding of the volumetric structure and the spatial relationships of objects in the scene. However, GI effect is computationally expensive. It requires not only complex visibility computations between arbitrary points but also the integration computation over a large number of directions. These two computations become extremely difficult tasks for the real-time or interactive algorithms of the dynamic scene. This paper proposes a lightweight GI calculation approach built upon a hybrid cone tracing algorithm with which to approximate the GI effect of the open world scene in real time. First, the 3D scene is divided into two types: complex meshes and height-field meshes. Second, the corresponding lightmaps of the two meshes are generated and mipmaped, respectively. GPU hardware acceleration technology is used to do the calculation efficiently. Finally, a hybrid cone tracing method is performed on the GPU to gather the indirect lighting information for each shaded point. The method first carries out the cone-scene intersection test and then carries out the light sampling and accumulation calculation. All tracing calculations are based on the hybrid lightmap representation. In addition, the experiment results show the effectiveness of our method. Compared with the 3D texture VCT method, memory consumption can be reduced by up to 80% in our experiment. INDEX TERMS Global illumination, cone tracing, real-time rendering, hybrid lightmap representation.

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Similarity Measurement Between Reconstructed 3D Face and 2D Face Based on Deep Learning

Liu

Wang

Jing

et al. 2019

Biometric Recognition

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An Approach to 3D Building Model Retrieval Based on Topology Structure and View Feature

Cited by 5 publications

References 38 publications

A Novel Method Based on Interpolation for Accurate 3D Reconstruction from CT Images

A Novel Method Based on Interpolation for Accurate 3D Reconstruction from CT Images

An Approach to Global Illumination Calculation Based on Hybrid Cone Tracing

Similarity Measurement Between Reconstructed 3D Face and 2D Face Based on Deep Learning

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