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A Transform Coding Strategy for Dynamic Point Clouds
IEEE Transactions on Image Processing, 2020The development of real-time 3D sensing devices and algorithms (e.g., multiview capturing systems, Time-of-Flight depth cameras, LIDAR sensors), as well as the widespreading of enhanced user applications processing 3D data, have motivated the investigation of innovative and effective coding strategies for 3D point clouds. Several compression algorithms,
Milani S., Polo E., Limuti S.
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On Predictive RAHT For Dynamic Point Cloud Coding
2020 IEEE International Conference on Image Processing (ICIP), 2020We studied predictive coding applied to the region-adaptive hierarchical transform (RAHT) which is used for point cloud compression (PCC). RAHT is part of MPEG’s geometry-based PCC test model and an intra-frame prediction scheme for RAHT (URAHT), wherein the prediction residual is encoded rather than the voxel attributes themselves, has been shown to ...
André L. Souto, Ricardo L. de Queiroz
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Adaptive arithmetic coding for point cloud compression
2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2012Recently, structured-light-based scanning systems have gain in popularity and are capable of modeling entire dense shapes that evolve over time with a single scan (a.k.a. one-shot scan). By projecting a static grid pattern onto the object surface, one-shot shape reconstruction methods can scan moving objects while still maintaining dense reconstruction.
Ismaël Daribo +3 more
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Coding of Multimodal Point Cloud Data
In recent years, point cloud data has become increasingly popular across various aspects of life, enhancing entertainment through Virtual Reality and Augmented Reality, improving transportation with Autonomous Driving, and advancing healthcare by enabling accurate visualization of the human body for better understanding and diagnosis. The 3D multimediaopenaire +2 more sources
Context-based octree coding for point-cloud video
2017 IEEE International Conference on Image Processing (ICIP), 20173D and free-viewpoint video has been moving towards solid-scene representation using meshes and point clouds. Point-cloud processing requires much less computation and the points in the cloud are minimally represented by their geometry (3D position) and color.
Diogo C. Garcia, Ricardo L. de Queiroz
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Point Cloud Compression Incorporating Region of Interest Coding
2019 IEEE International Conference on Image Processing (ICIP), 2019We introduce Region-of-Interest (ROI) coding for point cloud attributes, using an input-weighted distortion measure where the weights are determined by the ROI. In terms of coding, we use the Region Adaptive Hierarchical Transform (RAHT), which relies on a set of weights.
Gustavo L. Sandri +3 more
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Data Reduction for Point Cloud Using Octree Coding
20173D laser scanning technology as a new technology in the field of surveying and mapping, compared with traditional technology has obvious advantages, and it has become an important method to get the Three - dimensional data of objects. At the same time, with the development of the scanning technology, we get more and more point cloud data.
Shanwei Song, Jing Liu, Changqing Yin
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Point Cloud Rendering After Coding: Impacts on Subjective and Objective Quality
IEEE Transactions on Multimedia, 2021Fernando Pereira +2 more
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Adaptive Deep Learning-Based Point Cloud Geometry Coding
IEEE Journal on Selected Topics in Signal Processing, 2021André Guarda +2 more
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A Novel Coding Scheme for Large-Scale Point Cloud Sequences Based on Clustering and Registration
IEEE Transactions on Automation Science and Engineering, 2022Weixun Zuo, Xuebin Sun
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