Indirect Time-of-Flight Sensor Bit Depth Correction
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Solution Overview
Problem
The processing of sensing data in existing systems often requires a large dynamic range and high bit depth, leading to increased memory, transmission, and calculation costs.
Innovation Solution
An information processing device and method that corrects the bit depth of intermediate data from an indirect time-of-flight (TOF) sensor and encodes it to generate coded data, thereby reducing the data amount and processing load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large bit depth is used to represent sensing data, then the dynamic range is improved, but the memory cost, transmission cost, and calculation cost increase
Solution Approach 1:
The patent applies parameter changes by transforming the bit depth parameter of sensing data. Specifically, it converts high-bit-depth sensing data into low-bit-depth intermediate data through a conversion table that maps multiple high-bit values to single low-bit values. This parameter transformation maintains the essential information needed for depth calculation while significantly reducing the data amount, thereby resolving the contradiction between dynamic range and data quantity.
2Measurement precision
If a large bit depth is used for sensing data, then the measurement precision is improved, but the processing load increases
Solution Approach 1:
The patent implements preliminary action by performing bit depth conversion early in the processing pipeline, transforming high-bit-depth sensing data into low-bit-depth intermediate data before subsequent processing steps. This preliminary transformation reduces the computational burden of later operations such as depth calculation and image generation, while the conversion table is pre-computed to ensure accuracy is maintained. This resolves the contradiction by reducing processing load while preserving measurement precision.
3Manufacturing precision
If a large bit depth is used for intermediate data, then the calculation accuracy is improved, but the storage capacity requirement increases
Solution Approach 1:
The patent applies parameter changes by converting the bit depth parameter of intermediate data from high to low. The conversion table maps ranges of high-bit values to single low-bit values, enabling efficient compression of intermediate data. This reduction in bit depth directly decreases the storage capacity required for intermediate data while maintaining sufficient calculation accuracy for depth map generation, thereby resolving the contradiction between calculation accuracy and storage requirements.
Data Source
AI summary
There is provided an information processing device and method capable of suppressing an increase in load of processing of sensing data. A bit depth of intermediate data generated from sensing data obtained in a sensor of an indirect time-of-flight (TOF) system is corrected, and the intermediate data with the bit depth corrected is encoded, and coded data is generated. For example, the bit depth of the intermediate data is corrected using a gamma curve that is a predetermined curve indicating input-output characteristics. The present disclosure can be applied to, for example, an image processing device, an image encoding device, an image decoding device, an imaging element, an imaging device, or the like.