Objective and subjective evaluation of static 3D mesh compression

Berjón, Daniel; Morán, F.; Manjunatha, Shankar

doi:10.1016/j.image.2012.10.013

Cited by 8 publications

(10 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this paper we present a methodology to objectively evaluate the human perception of 3D mesh quality by means of paired comparisons. Although there are different methods to evaluate mesh quality perception, the community has long been demanding new procedures less dependent on abstract evaluations or Likert scores from the participants (for a review see [12]). Using psychophysics' metrics of forced choice comparisons we have tested the thresholds of mesh quality perception for two outstanding experimental questions.…”

Section: Discussionmentioning

confidence: 99%

“…Up to date the computer graphics community has developed many 3D mesh compression and reduction procedures that are of use to optimize VR setups with direct application to future content creation via 3D scanners. Several authors have presented techniques to objectively and subjectively evaluate algorithms and produced mesh qualities [12]. However, current objective techniques based on mathematical approaches do not always replicate the actual human perception of the meshes [12].…”

Section: Discussionmentioning

confidence: 99%

“…Several authors have presented techniques to objectively and subjectively evaluate algorithms and produced mesh qualities [12]. However, current objective techniques based on mathematical approaches do not always replicate the actual human perception of the meshes [12]. Furthermore there is currently no agreement on which methodology to use, since subjective approaches have been mostly restricted to questionnaires and abstract Likert scores that can be inadequate to measure the real thresholds of perception [12].…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Assessing 3D Scan Quality Through Paired-comparisons Psychophysics

Thorn

Pizarro

Spanlang

et al. 2016

Proceedings of the 24th ACM International Conference on Multimedia

View full text Add to dashboard Cite

Fig. 1. Scanned objects exported with 1K, 5K, 10K and 20K triangles (from left to right). Unlit objects (a) and Lambert diffuse shaded objects (b) are compared through a full factorial paired-comparisons psychophysics test comparison in a stereoscopic head-mounted display and in a regular monitor. The corresponding wireframe models can be seen in (c).Abstract-Consumer 3D scanners and depth cameras are increasingly being used to generate content and avatars for Virtual Reality (VR) environments and avoid the inconveniences of hand modeling; however, it is sometimes difficult to evaluate quantitatively the mesh quality at which 3D scans should be exported, and whether the object perception might be affected by its shading. We propose using a paired-comparisons test based on psychophysics of perception to do that evaluation. As psychophysics is not subject to opinion, skill level, mental state, or economic situation it can be considered a quantitative way to measure how people perceive the mesh quality. In particular, we propose using the psychophysical measure for the comparison of four different levels of mesh quality (1K, 5K, 10K and 20K triangles). We present two studies within subjects: in one we investigate the quality perception variations of seeing an object in a regular screen monitor against an stereoscopic Head Mounted Display (HMD); while in the second experiment we aim at detecting the effects of shading into quality perception. At each iteration of the pair-test comparisons participants pick the mesh that they think had higher quality; by the end of the experiment we compile a preference matrix. The matrix evidences the correlation between real quality and assessed quality, even though participants significantly reported that they were guessing most of the time. Regarding the shading mode, we find an interaction with quality and shading, which seems to be more important for quality perception when the model has high definition but not when the model has low definition. Furthermore, we assess the subjective realism of the most/least preferred scans using an Immersive Augmented Reality (IAR) video-see-through setup to be able to compare the real object and the 3D scanned one in the same HMD environment. Results show higher levels of realism were perceived through the HMD than when using a monitor, although the quality was similarly perceived in both systems.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Assessing 3D Scan Quality Through Paired-comparisons Psychophysics

Thorn

Pizarro

Spanlang

et al. 2016

Proceedings of the 24th ACM International Conference on Multimedia

View full text Add to dashboard Cite

show abstract

“…This small 3D meshes compression leads to point cloud memory optimization. A survey on mesh compression techniques is presented in [16] and another evaluation framework for 3D mesh compression is expressed in [17] in which authors claimed to have achieved a compression ratio 10 to 60%. A lossy compression model based on Hierarchical point clustering is exercised in [18] that focused on geometry of points.…”

Section: Related Workmentioning

confidence: 99%

Three Dimensional Point Cloud Compression and Decompression Using Polynomials of Degree One

et al. 2019

View full text Add to dashboard Cite

The availability of cheap depth range sensors has increased the use of an enormous amount of 3D information in hand-held and head-mounted devices. This has directed a large research community to optimize point cloud storage requirements by preserving the original structure of data with an acceptable attenuation rate. Point cloud compression algorithms were developed to occupy less storage space by focusing on features such as color, texture, and geometric information. In this work, we propose a novel lossy point cloud compression and decompression algorithm that optimizes storage space requirements by preserving geometric information of the scene. Segmentation is performed by using a region growing segmentation algorithm. The points under the boundary of the surfaces are discarded that can be recovered through the polynomial equations of degree one in the decompression phase. We have compared the proposed technique with existing techniques using publicly available datasets for indoor architectural scenes. The results show that the proposed novel technique outperformed all the techniques for compression rate and RMSE within an acceptable time scale.

show abstract

“…Objective tools that support efficient computation of these measurements have been presented in [2] and [3]. Additionally, works in [4] and [5] provide an additional overview of both subjective and objective testing of geometry quality and the factors involved (i.e. geometry quality vs. texture quality and so forth).…”

Section: Related Workmentioning

confidence: 99%

Objective and subjective quality assessment of geometry compression of reconstructed 3D humans in a 3D virtual room

Mekuria

César

Doumanis

et al. 2015

Applications of Digital Image Processing XXXVIII

View full text Add to dashboard Cite

Compression of 3D object based video is relevant for 3D Immersive applications. Nevertheless, the perceptual aspects of the degradation introduced by codecs for meshes and point clouds are not well understood. In this paper we evaluate the subjective and objective degradations introduced by such codecs in a state of art 3D immersive virtual room. In the 3D immersive virtual room, users are captured with multiple cameras, and their surfaces are reconstructed as photorealistic colored/textured 3D meshes or point clouds. To test the perceptual effect of compression and transmission, we render degraded versions with different frame rates in different contexts (near/far) in the scene. A quantitative subjective study with 16 users shows that negligible distortion of decoded surfaces compared to the original reconstructions can be achieved in the 3D virtual room. In addition, a qualitative task based analysis in a full prototype field trial shows increased presence, emotion, user and state recognition of the reconstructed 3D Human representation compared to animated computer avatars.

show abstract

Objective and subjective evaluation of static 3D mesh compression

Cited by 8 publications

References 39 publications

Assessing 3D Scan Quality Through Paired-comparisons Psychophysics

Assessing 3D Scan Quality Through Paired-comparisons Psychophysics

Three Dimensional Point Cloud Compression and Decompression Using Polynomials of Degree One

Objective and subjective quality assessment of geometry compression of reconstructed 3D humans in a 3D virtual room

Contact Info

Product

Resources

About