A Generic Scheme for Progressive Point Cloud Coding

Huang, Yan; Peng, Jingliang; Kuo, C.-C. Jay; Gopi, M.

doi:10.1109/tvcg.2007.70441

Cited by 162 publications

(92 citation statements)

References 32 publications

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“…Such a codec was introduced in [11] based on octree composition. This codec includes bit-reordering to reduce the entropy of the occupancy codes that represent octree subdivisions.…”

Section: Related Workmentioning

confidence: 99%

Design, Implementation, and Evaluation of a Point Cloud Codec for Tele-Immersive Video

Mekuria

Blom

César

2017

IEEE Trans. Circuits Syst. Video Technol.

346

227

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Abstract-we present a generic and real-time time-varying point cloud codec for 3D immersive video. This codec is suitable for mixed reality applications where 3D point clouds are acquired at a fast rate. In this codec, intra frames are coded progressively in an octree subdivision. To further exploit interframe dependencies, we present an inter-prediction algorithm that partitions the octree voxel space in N times N times N macroblocks (N=8,16,32). The algorithm codes points in these blocks in the predictive frame as a rigid transform applied to the points in the intra coded frame. The rigid transform is computed using the iterative closest point algorithm and compactly represented in a quaternion quantization scheme. To encode the color attributes, we defined a mapping of color per vertex attributes in the traversed octree to an image grid and use legacy image coding method based on JPEG. As a result, a generic compression framework suitable for real-time 3D tele-immersion is developed. This framework has been optimized to run in realtime on commodity hardware for both encoder and decoder. Objective evaluation shows that a higher rate-distortion (R-D) performance is achieved compared to available point cloud codecs. A subjective study in a state of art mixed reality system shows that introduced prediction distortions are negligible compared to the original reconstructed point clouds. In addition, it shows the benefit of reconstructed point cloud video as a representation in the 3D Virtual world. The codec is available as open source for integration in immersive and augmented communication applications and serves as a base reference software platform in JCT1/SC29/WG11 (MPEG) for the further development of standardized point cloud compression solutions.

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“…Such a codec was introduced in [11] based on octree composition. This codec includes bit-reordering to reduce the entropy of the occupancy codes that represent octree subdivisions.…”

Section: Related Workmentioning

confidence: 99%

Design, Implementation, and Evaluation of a Point Cloud Codec for Tele-Immersive Video

Mekuria

Blom

César

2017

IEEE Trans. Circuits Syst. Video Technol.

346

227

View full text Add to dashboard Cite

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“…It is the basis of many compression algorthms that are currently used, and it is further exploited to reduce the size of data needed for content reconstruction. [21][22][23][24][25] This regular representation, though, leads to visible artifacts in the form of structured loss. Octree-pruning can be obtained by setting a desirable octree LoD, which defines the size of leaf nodes.…”

Section: Octree-pruningmentioning

confidence: 99%

On the performance of metrics to predict quality in point cloud representations

Alexiou

Ebrahimi

2017

Applications of Digital Image Processing XL

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Point clouds are a promising alternative for immersive representation of visual contents. Recently, an increased interest has been observed in the acquisition, processing and rendering of this modality. Although subjective and objective evaluations are critical in order to assess the visual quality of media content, they still remain open problems for point cloud representation. In this paper we focus our efforts on subjective quality assessment of point cloud geometry, subject to typical types of impairments such as noise corruption and compression-like distortions. In particular, we propose a subjective methodology that is closer to real-life scenarios of point cloud visualization. The performance of the state-of-the-art objective metrics is assessed by considering the subjective scores as the ground truth. Moreover, we investigate the impact of adopting different test methodologies by comparing them. Advantages and drawbacks of every approach are reported, based on statistical analysis. The results and conclusions of this work provide useful insights that could be considered in future experimentation.

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“…This is because, loss of a single packet in the Octree encoding of sensor data can often corrupt all the information stored in the Octree. To see why this is the case, let us first understand how the Octree data-structure is encoded [13,5]. The standard Octree encoding technique proceeds as follows: Each node in the Octree be represented by a tuple of length 8 representing the occupancy of each of its children.…”

Section: System Descriptionmentioning

confidence: 99%

A cloud-assisted design for autonomous driving

Kumar

Gollakota

Katabi

2012

Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing

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This paper presents Carcel, a cloud-assisted system for autonomous driving. Carcel enables the cloud to have access to sensor data from autonomous vehicles as well as the roadside infrastructure. The cloud assists autonomous vehicles that use this system to avoid obstacles such as pedestrians and other vehicles that may not be directly detected by sensors on the vehicle. Further, Carcel enables vehicles to plan efficient paths that account for unexpected events such as road-work or accidents.We evaluate a preliminary prototype of Carcel on a state-of-theart autonomous driving system in an outdoor testbed including an autonomous golf car and six iRobot Create robots. Results show that Carcel reduces the average time vehicles need to detect obstacles such as pedestrians by 4.6× compared to today's systems that do not have access to the cloud.

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A Generic Scheme for Progressive Point Cloud Coding

Cited by 162 publications

References 32 publications

Design, Implementation, and Evaluation of a Point Cloud Codec for Tele-Immersive Video

Design, Implementation, and Evaluation of a Point Cloud Codec for Tele-Immersive Video

On the performance of metrics to predict quality in point cloud representations

A cloud-assisted design for autonomous driving

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