Shape measurement using an experimental untracked range sensor
Bibliographic record
Abstract
An experimental shape measurement system that does not require peripheral sensors to track the position and orientation of the sensor-head is described in this paper. The prototype consists principally of a multiple-line light projector and a CCD camera. The light projection unit uses a low-power diode laser with a single line-generator and several dichroic cube beamsplitters. This simple hardware configuration creates three parallel line profiles with unique intensity values due to the transmission and reflection properties of the constituent beamsplitters. To eliminate background information, a bandpass filter with a peak response near the wavelength of the laser source is placed over the camera lens. The CCD camera acquires images of distorted light patterns as the sensor-head is swept across the object surface. The coordinate points of the parallel profiles in each view are recovered relative to the sensor head using a nonlinear image-to-object coordinate calibration technique. Where partial overlap exists between adjacent views, a multi-view registration algorithm can be applied. In the proposed registration method, the geometry of the surface in each view is approximated prior to computation of the sensor transformation. These synthetic surfaces are used to establish the corresponding features in adjacent views that are necessary to compute the translation and rotation parameters of the sensor-head. The potential of the surface-measurement method is demonstrated using narrow overlapping views.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".