Biomimetic sampling architectures for CMOS image sensors
Bibliographic record
Abstract
We demonstrate a non-orthogonal architecture for a CMOS active pixel image sensor, called here pyramid architecture, for improved two-dimensional spatial sampling. In the pyramid architecture 2D sampling using concentric rings replaces the 1D row sampling in the classical imager architecture, and diagonal output busses replace the conventional vertical column busses. Moreover, we propose a scanning scheme in which, instead of rolling over to the first ring (or row) at the end of image capture, the scan returns from the outer ring towards the first inner ring at the centre of the sensor. This leads to two scenes of differing integration times that, after being fused, results in a foveated increase in intra-scene dynamic range. Results from a sensor fabricated in 0.18μm CMOS technology are presented and discussed. We will also present a multi-resolution architecture which is based on the pixel structures as building block to control the acquired image resolution.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".