3D face-shape modelBrain PETKinectMotion correctionRange-sensing cameraObjective:Head motions during brain PET scan cause degradation of brain images, but head fixation or external-maker attachment become burdensome on patients. Therefore, we have developed a motion correction method that uses a 3D ...
3D face scans often contain too much noise and other irregularities in them. Geometric processing techniques such as smoothing and hole filling are employe... D Xu,P Hu,W Cao,... - IEEE International Conference on Shape Modeling & Applications 被引量: 49发表: 2008年 From Low-Cost Depth Se...
The algorithmic challenge we face is that the sensor's level of random noise is substantial and there is a nontrivial systematic bias. In this paper, we show the surprising result that 3D scans of reasonable quality can also be obtained with a sensor of such low data quality. Established ...
All faces in the database were first resampled to obtain point-to-point correspondence and then aligned to a reference face to remove any pose variation and/or any mis- alignment (during the scan). We then perform PCA on the database of aligned 3D faces to obtain the eigenvectors of 1 ...
The test data and scripts have been uploaded toHugging Face. You can also locate the evaluation scripts from thecodebaseof ShapeLLM. Furthermore, we propose 3D MM-Vet-C, which contains three variants: single-view, jitter, and rotation. They represent extracting partial point clouds of the fro...
The biggest algorithmic challenge we face when putting this idea into practice is also the reason why ToF cameras have not yet taken over the 3D scanning market: ToF sensors have a very low X/Y resolution, an adverse random noise behavior, and a notable systematic measurement bias [1]. ...
Start machine quickly, calibrate fast and automatic, scanning process automatic, fast and high precision, although this 3D scanner can only scan 1pc impression one time, but can automatic arrange next step for another impression. The software is user-friendly, and the scanning proc...
Start machine quickly, calibrate fast and automatic, scanning process automatic, fast and high precision, although this 3D scanner can only scan 1pc impression one time, but can automatic arrange next step for another impression. The software is user-friendly, and the scanning ...
Subsequently, we use the lifted 3D landmarks to fit/align the pose of our template to the 3D scan surface. Finally, in order to acquire the final hand dense registrations, we apply the Non-rigid Iterative Closest Point algorithm (NICP) [1] between our hand t...
Based on proper orthogonal decomposition (POD), a new method is presented in order to statistically characterize arbitrary particle shapes using an optimal choice of shape functions identified on a set of 1000 digitized railway ballast particles obtained through 3D Scan. The coefficients of the POD ...