| Literature DB >> 23613743 |
Matthew R Bennett1, Peter Falkingham, Sarita A Morse, Karl Bates, Robin H Crompton.
Abstract
Human footprints provide some of the most publically emotive and tangible evidence of our ancestors. To the scientific community they provide evidence of stature, presence, behaviour and in the case of early hominins potential evidence with respect to the evolution of gait. While rare in the geological record the number of footprint sites has increased in recent years along with the analytical tools available for their study. Many of these sites are at risk from rapid erosion, including the Ileret footprints in northern Kenya which are second only in age to those at Laetoli (Tanzania). Unlithified, soft-sediment footprint sites such these pose a significant geoconservation challenge. In the first part of this paper conservation and preservation options are explored leading to the conclusion that to 'record and digitally rescue' provides the only viable approach. Key to such strategies is the increasing availability of three-dimensional data capture either via optical laser scanning and/or digital photogrammetry. Within the discipline there is a developing schism between those that favour one approach over the other and a requirement from geoconservationists and the scientific community for some form of objective appraisal of these alternatives is necessary. Consequently in the second part of this paper we evaluate these alternative approaches and the role they can play in a 'record and digitally rescue' conservation strategy. Using modern footprint data, digital models created via optical laser scanning are compared to those generated by state-of-the-art photogrammetry. Both methods give comparable although subtly different results. This data is evaluated alongside a review of field deployment issues to provide guidance to the community with respect to the factors which need to be considered in digital conservation of human/hominin footprints.Entities:
Mesh:
Year: 2013 PMID: 23613743 PMCID: PMC3629167 DOI: 10.1371/journal.pone.0060755
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Examples of soft-sediment footprint sites.
A. Footprint site south of Walvis Bay, Namibia. Migration of active dunes across silt surfaces reveals a range of Holocene footprints. B. FwJj14E footprint site close to the village of Ileret in northern Kenya. The prints occur at multiple levels within the eroding silt bluff. Note the rock armour introduced below the lower surface to combat seasonal storm run-off and erosion. C. GaJi10 footprint site south of Koobi Fora in northern Kenya. The site is located adjacent to the bed of a seasonally active river and as shown the footprint rich beds dip into the slope away from the thalweg of the channel.
Figure 2Matrix of variables relevant to the conservation of hominin/human footprint sites with particular emphasis on soft-sediment sites.
The horizontal continuum at the top is between strategies based on ‘record and rescue’ versus those based on site preservation either via burial such as Laetoli or via some form of conserved display as is the case at Acahualinca in Nicaragua.
Figure 3Comparison of photogrammetry and optical laser scanning methods.
A. Box plot of length dimensions taken from one of the concrete prints, showing the underestimate of length provided by the photo-model. B. Shell to shell deviations between co-registered scans for specific prints. The frequency distribution shows the range of deviations both positive and negative. The broader the area of distribution the more divergent the scan shell and the photo-model shell are. Co-registration and shell deviations were undertaken and calculated within Rapidform 2006.
Figure 4For the eight beach prints the two models/shells for the scanner and one for the photo-model were co-registered in Rapidform 2006 and the maximum model thickness or deviation was calculated and attached as vertex colour map to the combined model.
Warm colours indicate maximum thickness or deviation.
Figure 5Results showing statistical comparison of photogrammetry and optical laser scanning methods applied to beach prints. A.
Vectored deviation maps for selected prints. Blue colours indicate situations where the scanned images underlie the photo-model and the red colours where the photo-model is slightly elevated. The speckled red reflects the fact that the photo-model resolves individual sand-grains whereas the scan does not. B. Mean images for all eight prints one for the scanned images and one for the photo-model showing the subtle differences in print typology that result from the different data capture techniques. Note the colour map is revised here, warm colour indicate areas of maximum depth. C. The left hand images is the Statistical Parametric Map (SPM) of t-values produced by a pixel-wise comparison of the two means – photo-model versus scan; warm colours show maximum positive deviation, cool colours negative deviation. The right hand images shows the results when a threshold of T<0.1 is applied with probability values. Given the very low threshold value applied here it is safe to say that there is little statistical difference between the two means. What differences are visible at this low threshold value occur around the longitudinal medial arch and in a proximal position to the toe pads.
Figure 6Contour maps for the eight beach prints generated from either the scan or photo-model.
Contour interval is 1 mm. Note that the left prints have been inverted to be consistent with the right ones a necessary step in the application of pSPM to the two print populations.
Figure 7Illustration of a landmark analysis conducted from the scanned and photo-models.
Note the almost identical overlap between the 95% probability ellipses.
A summary of the relative merits in terms of field deployment of optical laser scanning versus photogrammetry.
| Photogrammetry | Optical Laser Scanning | |
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| Hardware | Low field costs since a basic digital camera and memory cards are all that is required. Modest lab costs associated with provision of suitable CPU, dependent on the speed of processing required and software to be run; reducing all the time as standard computational power increases. | High depending on the make and model of the scanner used. Low lab costs since no special computational power is required unless a large number of scanned images are being tessellated. |
| Software | Zero to modest depending on the software used to generate photogrammetric models. Three-dimensional image software required for post processing and visualisation both commercial and freeware options available. | Variable, most expensive scanners come with basic three-dimensional image software required for post processing and basic visualisation less expensive scanners often don’t. |
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| Transport logistics | Easy - photo-scale and camera. In some cases use of tripod mounted arms or A-frames may increase the equipment volume. | Depending on scanner model and the support mechanism – tripod or frame - can be quite bulky. Provision of power supply via a converter and a generator, car battery or lithium ion battery. |
| Electrical Requirements | Minimal, power is required for camera batteries and photo storage devices such as a laptop or PDA. | Most scanners either require a generator, car battery or lithium ion battery with or without a power inverter, either to power the scanner directly, or to recharge a built in battery. Power is also required for PDA or laptop used to run the scanner. |
| Data capture time | Approximately 5 minutes per print to take between 20 and 30 photographs per print; quicker times possible when using fixed point frames/tripod requiring a more limited number of images. It is possible to have multiple prints or areas being captured simultaneously with multiple photographers. Photographs can also be collected from Unmanned Aerial Vehicles (UAV) especially where large areas are involved, although this may increase the associated costs and logistics. | Depends on the scanner model and resolution required but usually less than 1 minute per scan. Limited to the number of scanners available to one field project. |
| Post-processing time | Depends on the software being used and the number of images but post-processing time to generate the model can be up to 12 hours, typically 30 to 45 minutes for a high resolution model. | Depends on the tasks being performed and the degree of data cleansing and optimisation required but can be anything from a few minutes to 30 minutes maximum. Aligning multiple scans, especially from long range scanners with high data throughput can take considerable time (up to 24 hours). |
| Reconnaissance operation and/or training? | Images can be captured by any operator with a digital camera and basic knowledge of photographs required. | Requires access to equipment and basic training. |
| Memory Requirements | Can be managed by multiple data cards, field based download to laptop or PDA, or field based upload via internet connection. Data volumes are high depending on the individual pictures resolution; for example, one gigabyte for a trail of 10 prints. | Depends on the make and model of scanner, some scanners can record directly to a data card, most required laptop operation. Typical file sizes are between 1 and 5 megabytes per print, though high resolution scans of large areas (e.g. whole or partial track sites) can be many Gb in size. |
| Risks to site | Damage can be high from feet of photographer taking multiple images from different angles; damage from the feet of tripods or other fixed arm camera mounts. These can be overcome through the use of UAV’s although their use increases costs and logistics | Damage from tripods or scanner frames can be high. |
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| Prohibitive environmental conditions | Sunlight & intense shadow can be problematic and shading may be required for the whole area of the print depending on the colour of the substrate and angle of the sun. Wind-blown dust and rain may hinder operation. Wet rock/sediment surfaces or those with residual water content can limit the accuracy of some models especially where it is variable across a surface. | Most high resolution optical scanners require sunlight shading and protection from wind-blown dust and rain. Scanners can fail to operate in very high ambient temperatures due to sensitive components. Air moisture can also cause interference and laser detection issues. |
| Accuracy and completeness | Dependent on the quality and number of images obtained and the software used to produce the model. Undercut areas can cause problems as can deep prints causing shade problems at the bottom of the print. For accurate measurements images have to be carefully scaled. | Dependent upon the make and model of the scanner. Difficult to capture undercut or overhanging areas with a vertically mounted scanner; multiple shots may be required and there still may be problems with very deep prints. Scans are scaled accurately as they are captured, provided the scanner is regularly calibrated. |
| Intra- and inter-site variability | The accuracy of a photo-model is specific to one object and the images taken, there is therefore a strong risk of undetected intra- and inter-site variability in accuracy and reliability of the models. The accuracy of every single model needs to be checked via a reference object in every model. | Provided a scanner is well-maintained and regularly calibrated by the manufacturer its accuracy should be consistent in intra-site setting and inter-site settings subject to a caveat around changing environmental conditions. The accuracy of scanned images needs only to be checked once at a site, or following best practice daily at most. |
| Edge effects | Taking images close to an excavation wall can be problematic since a full 360° array of images may not be possible. | Depends on tripod or frame configuration, but potentially not a problem especially if oblique scans are also used. |
| Risks of failure | Data quality - moderate to high, associated with failure to capture sufficient images of good quality and coverage especially when post-processing is being done on return from the field. Equipment - low since cameras are ubiquitous on field expeditions so multiple options are often available when one camera fails assuming flexible camera mounts and tripod connections. Post-processing – moderate to high, failure of the software to produce adequate models. | Data quality - low in terms of failure to capture data since the quality of a model can be instantly verified and checked in the field and scans re-shot if needed. Equipment - moderate to high since scanners are relatively delicate scientific equipment and field failure is usually terminal since few projects have access to multiple scanners. This is low for scanners designed for field use. Post-processing – low focused simply on data quality and enhancement. |