Adaptive Zoom Distance Measuring System of Camera Based on the Ranging of Binocular Vision
Why this work is in the frame
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Bibliographic record
Abstract
Binocular vision ranging, according to the principle of parallax, represents the three dimensional depth in a parallax of 2d image plane. In order to improve the measurement accuracy of the binocular vision ranging, an adaptive zoom distance measuring methodology is focused on in the work. The causes of the error generation during the ranging process and its improvement difficulties are discussed. SIFT (Scale-invariant feature transform) is introduced to obtain parallax. With the samples of focal length acquired through the distance formula, the focal length function about distance is fitted through the least square method. A new distance formula is derived from the focal length function and the distance formula. In addition, a corresponding system is developed to realize the ranging process. To illustrate the procedure of the combination approach, an experiment is conducted with the developed system. The data from the experiment show that this technique can achieve accurate ranging. With the adaptive zoom method, ranging accuracy can reach more than 90%.
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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 | 0.000 |
| Open science | 0.000 | 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 it