Review Article
Review and Comparison of High-Dynamic Range Three-Dimensional Shape Measurement Techniques
Table 1
Pros and cons of various HDR techniques.
| Technique | Ref. | Autoprediction of parameters | High accuracy | Possible on line applications | No a priori needed | No requirement of postprocessing | No additional requirement in hardware | Dealing with complex textures and colors |
| Using multiple exposures | [9, 10, 12] | | √ | | √ | | √ | √ | [11, 13] | √ | √ | | | | √ | √ | [14] | √ | √ | √ | | | √ | √ |
| Using an optimal exposure time | [15, 16] | √ | | √ | | √ | √ | √ |
| Adjusting projected pattern intensities | [17–19] | | | √ | √ | √ | √ | √ | [20, 21] | | √ | | √ | | √ | √ | [22–24] | √ | √ | √ | | √ | √ | √ |
| Using polarizing filters | [30] | | √ | √ | | √ | | √ |
| Using color invariants | [38] | | | √ | √ | √ | √ | |
| Photometric stereo | [52] | | √ | | | | | |
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