旧石器研究中的三维模型分析方法与应用
收稿日期: 2024-12-30
修回日期: 2025-06-26
网络出版日期: 2026-08-12
基金资助
国家自然科学基金项目(42177424);国家自然科学基金项目(42522206)
The analytical method and application of three-dimensional models in Paleolithic study
Received date: 2024-12-30
Revised date: 2025-06-26
Online published: 2026-08-12
在旧石器时代考古领域,基于三维模型的石制品分析已成为重要的研究手段,本文主要介绍其在定性的观察与展示、基于标量和向量的定量分析和几何形态测量学定量分析中的应用。定性层面上,三维建模可帮助研究者整理标本、观察技术特征和展示石制品等。定量层面上,基于标量的定量分析方法可量化石制品的对称性、石皮比例、剥片强度、片疤方向和使用痕迹等;基于向量的几何形态测量学方法可辅助研究者开展石制品分类、不同组标本间对比研究,乃至探讨台面形状对石片形态的影响等规律性问题;其他基于向量的定量分析还能量化石制品的片疤方向和刃角,并助力石制品拼合。国内现已具备更广泛地将三维模型应用于石制品分析的条件,但研究实例尚不多见。基于三维模型的石制品分析未来有望从不同层面助益中国的旧石器时代考古研究。
郭胜言 , 浣发祥 , 岳健平 , 杨石霞 . 旧石器研究中的三维模型分析方法与应用[J]. 人类学学报, 2026 , 45(04) : 670 -682 . DOI: 10.16359/j.1000-3193/AAS.2025.0083
Since the turn of the 21st century, three-dimensional (3D) modeling has emerged as a rapidly advancing research methodology in Paleolithic archaeology. By 2022, over 200 articles on this topic had been published in English-language journals alone. To date, however, the majority of these studies focus on materials from Western Eurasia, Africa and North America, with only a limited number of cases involving East Asian artifacts. In the Chinese-language archaeological community, this method holds significant potential for further application.
On a qualitative level, 3D models enhance researchers’ ability to observe stone artifacts. Tiny technical features that are sometimes difficult to detect through visual inspection can be more clearly identified using 3D models. Also, 3D models facilitate the display and preservation of stone artifact data.
At the quantitative level, most fundamental approaches are scalar-based analysis. Researchers can calculate symmetry by projecting the 3D stone artifact model into a 2D image or by cutting or flipping the model, with the latter method being more precise. Using 3D models, researchers can also calculate the surface area of a stone artifact, thereby determining its cortex ratio or quantifying its reduction intensity. Moreover, based on 3D models, researchers can locate the center of mass of stone artifacts and analyze use-wear patterns by comparing pre- and post-use morphologies.
Furthermore, 3D models make it possible to apply 3D geometric morphometrics, a vector-based method, which places 3D models within a coordinate system, quantifies surface morphology based on landmark and semi-landmark coordinates, then conducts quantitative morphological analysis. 3D geometric morphometrics aids researchers in examining the stone artifact typology in a morphological perspective and quantitatively comparing differences between different assemblages or types. Additionally, using 3D geometric morphometrics and methods such as regression analysis, researchers can further explore some regularities, such as the morphological relationship between a flake’s platform and its profile.
In addition, there are some vector-based analytical methods outside of geometric morphometrics. These methods can assist researchers in quantifying the flake scar patterning and edge angles of stone artifacts. Also, recent advancements in this kind of algorithms have enabled researchers to virtually refit stone artifacts using 3D models.
After two decades of development, 3D modeling analysis of stone artifacts has achieved a relatively mature methodology, applicable across various aspects of stone artifact analysis. This methodology has further facilitated the analysis of other types of artifacts, such as bronzes. Also, 3D modeling analysis suits well with East Asian materials, and is expected to contribute to some key issues in East Asian Paleolithic archaeology. Nevertheless, there remains room for further development, particularly in constructing comprehensive 3D model databases for stone artifacts, which would facilitate the application of advanced methods like deep learning.
Key words: stone artifacts; 3D model; quantitative archaeology; Paleolithic
| [1] | Roberts LG. Machine Perception of Three-Dimensional Solids[D]. PhD thesis, Cambridge: Massachusetts Institute of Technology, 1963 |
| [2] | Grosman L. Reaching the Point of No Return: The Computational Revolution in Archaeology[J]. Annual Review of Anthropology, 2016, 45: 129-145 |
| [3] | Wyatt-Spratt S. After the Revolution: A Review of 3D Modelling as a Tool for Stone Artefact Analysis[J]. Journal of Computer Applications in Archaeology, 2022, 5(1): 215-237 |
| [4] | 赵海龙, 仝广, 闫晓蒙. 基于Agisoft PhotoScan的石器三维建模与应用[J]. 人类学学报, 2021, 40(1): 40-48 |
| [5] | 周振宇, 关莹. 多视角三维重建技术在石制品研究中的应用[J]. 人类学学报, 2017, 36(1): 38-48 |
| [6] | 雷蕾, 贺乐天, 李大伟, 等. 三维几何形态测量方法在石制品分析中的应用[J]. 人类学学报, 2021, 40(6): 970-980 |
| [7] | 刘楠. 几何形态测量学在考古中的应用:以体质人类学与石制品研究为例[D]. 硕士学位毕业论文, 长春: 吉林大学, 2021, 77-87 |
| [8] | 战世佳, 董哲, 林雪川. 多重影像建模技术在打制石器制图及分析中的应用[J]. 东南文化, 2017, 5: 12-20 |
| [9] | Di Maida G, Hattermann M, Delpiano D. 3D models of lithic artefacts: A test on their efficacy[J]. Digital Applications in Archaeology and Cultural Heritage, 2023, 30: e00279 |
| [10] | Grosman L, Muller A, Dag I, et al. Artifact3-D: New software for 3D analysis and documentation of archaeological artifacts[J]. PLoS ONE, 2022, 17(6): e0268401 |
| [11] | 1Lin NR, Wang H, Huan FX, et al. Lithic miniaturization and hafted tools in early Late Pleistocene Salawusu, North China[J]. Journal of Archaeological Science: Reports, 2023, 48: 103831 |
| [12] | 彭菲, 高星, 王惠民, 等. 水洞沟旧石器时代晚期遗址发现带有刻划痕迹的石制品[J]. 科学通报, 2012, 57(26): 2475-2481 |
| [13] | Magnani M. Three-Dimensional Alternatives to Lithic Illustration[J]. Advances in Archaeological Practice, 2014, 2(4): 285-297 |
| [14] | Moore MW. Museum of Stone Tools[DB/OL]. URL: https://stonetoolsmuseum.com/, 2024 |
| [15] | Harmand S, Lewis JE, Feibel CS, et al. 3.3-million-year-old stone tools from Lomekwi 3, West Turkana, Kenya[J]. Nature, 2015, 521: 310-315 |
| [16] | Zhu Z, Dennell R, Huang W, et al. Hominin occupation of the Chinese Loess Plateau since about 2.1 million years ago[J]. Nature, 2018, 559: 608-612 |
| [17] | Linsel F, Bullenkamp JP, Mara H. Reusing 3D Measurement Data of Lithic Artifacts to Develop Analytical Methods[J]. Arch?ologische Informationen, 2024, 47: 141-155 |
| [18] | Karkazi E, Athanassiou A, Darlas A, et al. Beyond the walls: the design and development of the Petralona Cave virtual museum utilising 3D technologies[J]. Virtual Archaeology Review, 2024, 15(30): 80-96 |
| [19] | Douglass M, Kuhnel D, Magnani M, et al. Community outreach, digital heritage and private collections: a case study from the North American Great Plains[J]. World Archaeology, 2017, 49(5): 623-638 |
| [20] | Sánchez-Martínez J, Calmet K, Moreno JM, et al. Virtual reconstruction of stone tool refittings by using 3D modelling and the Blender Engine: The application of the ‘ReViBE’ protocol to the archaeological record[J]. PLoS ONE, 2024, 19(8): e0309611 |
| [21] | Wynn T. Archaeology and cognitive evolution[J]. Behavioral and Brain Sciences, 2002, 25(3): 389-402 |
| [22] | Saragusti I, Karasik A, Sharon I, et al. Quantitative analysis of shape attributes based on contours and section profiles in artifact analysis[J]. Journal of Archaeological Science, 2005, 32(6): 841-853 |
| [23] | Grosman L, Goldsmith Y, Smilansky U. Morphological Analysis of Nahal Zihor Handaxes: A Chronological Perspective[J]. Paleoanthropology, 2011, 203-215 |
| [24] | Li H, Kuman K, Li C. The symmetry of handaxes from the Danjiangkou Reservoir Region (central China): A methodological consideration[J]. Quaternary International, 2016, 400: 65-72 |
| [25] | Feizi N, Nasab HV, Wynn T. Consider the third dimension: A new approach for measuring the symmetry of the middle Paleolithic points of the Mirak Site[J]. Comptes Rendus Palevol, 2018, 17(6): 388-398 |
| [26] | Sholts SB, Gingerich JAM, Schlager S, et al. Tracing social interactions in Pleistocene North America via 3D model analysis of stone tool asymmetry[J]. PLoS ONE, 2017, 12(7): e0179933 |
| [27] | Dibble HL, Schurmans UA, Iovita RP, et al. The measurement and interpretation of cortex in lithic assemblages[J]. American Anriquity, 2005, 70(3): 545-560 |
| [28] | Lin SCH, Douglass MJ, Holdaway SJ, et al. The application of 3D laser scanning technology to the assessment of ordinal and mechanical cortex quantification in lithic analysis[J]. Journal of Archaeological Science, 2010, 37(4): 694-702 |
| [29] | Lin SCH, Peng F, Zwyns N, et al. Detecting patterns of local raw material utilization among informal lithic assemblages at the late Paleolithic site of Shuidonggou Locality 2 (China)[J]. Archaeological Research in Asia, 2019, 17: 137-148 |
| [30] | Dibble HL. Interpreting Typological Variation of Middle Paleolithic Scrapers: Function, Style, or Sequence of Reduction?[J]. Journal of Field Archaeology, 1984, 11(4): 431-436 |
| [31] | Braun DR, Rogers MJ, Harris JWK, et al. Landscape-scale variation in hominin tool use: Evidence from the Developed Oldowan[J]. Journal of Human Evolution, 2008, 55(6): 1053-1063 |
| [32] | Shipton C, Clarkson C, Pal JN, et al. Generativity, hierarchical action and recursion in the technology of the Acheulean to Middle Palaeolithic transition: A perspective from Patpara, the Son Valley, India[J]. Journal of Human Evolution, 2013, 65(2): 93-108 |
| [33] | Lombao D, Cueva-Temprana A, Mosquera M, et al. A new approach to measure reduction intensity on cores and tools on cobbles: the Volumetric Reconstruction Method[J]. Archaeological and Anthropological Science, 2020, 12: 222 |
| [34] | Shipton C, Clarkson C. Flake scar density and handaxe reduction intensity[J]. Journal of Archaeological Science: Reports, 2015, 2: 169-175 |
| [35] | Li H, Kuman K, Li C. Quantifying the Reduction Intensity of Handaxes with 3D Technology: A Pilot Study on Handaxes in the Danjiangkou Reservoir Region, Central China[J]. PLoS ONE, 2015, 10(9): e0135613 |
| [36] | Lombao D, Rabu?al JR, Morales JI, et al. The Technological Behaviours of Homo antecessor: Core Management and Reduction Intensity at Gran Dolina-TD6.2 (Atapuerca, Spain)[J]. Journal of Archaeological Method and Theory, 2023, 30: 964-1001 |
| [37] | Lombao D, Falcucci A, Moos E, et al. Unravelling technological behaviors through core reduction intensity. The case of the early Protoaurignacian assemblage from Fumane Cave[J]. Journal of Archaeological Science, 2023, 160, 105889 |
| [38] | Lombao D, Morales JI, Mosquera M, et al. Beyond Large-Shaped Tools: Technological Innovations and Continuities at the Late Early Pleistocene Assemblage of El Barranc de la Boella (Tarragona, Spain)[J]. Journal of Paleolithic Archaeology, 2024, 7: 25 |
| [39] | 周光照(主编). 中国大百科全书·物理学[M]. 北京: 中国大百科全书出版社, 2009, 532 |
| [40] | Caruana MV, Lotter MG, Lombard M. A Techno-Functional Analysis of Acheulean Backed Knives from Wonderboom, South Africa[J]. Journal of Field Archaeology, 2023, 48: 198-209 |
| [41] | Zupancich A, Mutri G, Caricola I, et al. The application of 3D modeling and spatial analysis in the study of groundstones used in wild plants processing[J]. Archaeological and Anthropological Sciences, 2019, 11: 4801-4827 |
| [42] | Dietrich L, Haibt M. Bread and porridge at Early Neolithic G?bekli Tepe: A new method to recognize products of cereal processing using quantitative functional analyses on grinding stones[J]. Journal of Archaeological Science: Reports, 2020, 33: 102525 |
| [43] | Benito-Calvo A, Arroyo A, Sánchez-Romero L, et al. Quantifying 3D micro-surface changes on experimental stones used to break bones and their implications for the analysis of Early Stone Age pounding tools[J]. Archaeometry, 2018, 60(3): 419-436 |
| [44] | Benito-Calvo A, Crittenden AN, Livengood SV. 3D 360° surface morphometric analysis of pounding stone tools used by Hadza foragers of Tanzania: A new methodological approach for studying percussive stone artefacts[J]. Journal of Archaeological Science: Reports, 2018, 20: 611-621 |
| [45] | 张锋, 李萍. 几何形态测量学在古生物学研究中的应用概况[J]. 古生物学报, 2016, 55(4): 518-531 |
| [46] | Okumura M, Araujo AGM. Archaeology, biology, and borrowing: A critical examination of Geometric Morphometrics in Archaeology[J]. Journal of Archaeological Science, 2019, 101: 149-158 |
| [47] | Lycett SJ, Chauhan PR. Analytical Approaches to Palaeolithic Technologies:An Introduction[A]. In: Lycett SJ, Chauhan PR(Eds.). New Perspectives on Old Stones[C]. New York: Springer, 2010, 1-17 |
| [48] | Zelditch ML, Swiderski DL, Sheets HD, et al. Geometric Morphometrics for Biologists: A Primer[M]. San Diego: Academic Press, 2004, 88-89 |
| [49] | Smith Hl, Jennings TA, Smallwood AM. The third dimension of stone points: 2D vs. 3D geometric morphometric shape analysis[J]. Archaeological and Anthropological Sciences, 2024, 16: 170 |
| [50] | Herzlinger G, Grosman L. AGMT3-D: A software for 3-D landmarks-based geometric morphometric shape analysis of archaeological artifacts[J]. PLoS ONE, 2018, 13(11): e0207890 |
| [51] | Adams DC, Otárola-Castillo E. Geomorph: An R package for the collection and analysis of geometric morphometric shape data[J]. Methods in Ecology and Evolution, 2013, 4: 393-399 |
| [52] | Schlager S. Morpho and Rvcg - shape analysis in R[A]. In: Zheng G, Li S, Székely G(Eds.). Statistical shape and deformation analysis[C]. London: Academic Press, 2017, 217-256 |
| [53] | Li H, Lei L, Li D, et al. Characterizing the shape of Large Cutting Tools from the Baise Basin (South China) using a 3D geometric morphometric approach[J]. Journal of Archaeological Science: Reports, 2021, 36: 102820 |
| [54] | Bustos-Pérez G, Gravina B, Brenet M, et al. Combining quantitative approaches to differentiate between backed products from discoidal and Levallois reduction sequences[J]. Journal of Archaeological Science: Reports, 2022, 46: 103723 |
| [55] | Hashemi SM, Nasab HV, Berillon G, et al. An investigation of the flake-based lithic tool morphology using 3D geometric morphometrics: A case study from the Mirak Paleolithic Site, Iran[J]. Journal of Archaeological Science: Reports, 2021, 37: 102948 |
| [56] | Shipton C, White M. Handaxe types, colonization waves, and social norms in the British Acheulean[J]. Journal of Archaeological Science: Reports, 2020, 31: 102352 |
| [57] | Falcucci A, Karakostis FA, G?ldner D, et al. Bringing shape into focus: Assessing differences between blades and bladelets and their technological significance in 3D form[J]. Journal of Archaeological Science: Reports, 2022, 43: 103490 |
| [58] | Selden RZ, Dockall JE, Shafer HJ. Lithic morphological organisation: Gahagan bifaces from the Southern Caddo Area[J]. Digital Applications in Archaeology and Cultural Heritage, 2018, 10: e00080 |
| [59] | Archer W, Pop CM, Rezek Z, et al. A geometric morphometric relationship predicts stone flake shape and size variability[J]. Archaeological and Anthropological Sciences, 2018, 10: 1991-2003 |
| [60] | Clarkson C, Vinicius L, Lahr MM. Quantifying flake scar patterning on cores using 3D recording techniques[J]. Journal of Archaeological Science, 2006, 33(1): 132-142 |
| [61] | Lin SC, Clarkson C, Julianto IMA, et al. A new method for quantifying flake scar organisation on cores using orientation statistics[J]. Journal of Archaeological Science, 2024, 167: 105998 |
| [62] | Hiscock P. The Meaning of Edge Angles?[J]. Australian Archaeology, 1982, 14: 79-85 |
| [63] | Dibble HL. A Comparative Study of Basic Edge Angle Measurement Techniques[J]. American Antiquity, 1980, 45(4): 857-865 |
| [64] | Viallet C. A new method of three-dimensional morphometry for analyzing the functional potentialities of bifaces. Contribution to the study of artefacts from AU P3 from the “Caune de l’ Arago” (France)[J]. Comptes Rendus Palevol, 2019, 18: 236-250 |
| [65] | Valletta F, Smilansky U, Goring-Morris AN, et al. On measuring the mean edge angle of lithic tools based on 3-D models - A case study from the southern Levantine Epipalaeolithic[J]. Archaeological and Anthropological Sciences, 2020, 12: 49 |
| [66] | Hofman JL. The refitting of chipped-stone artifacts as an Analytical and interpretive tool[J]. Current Anthropology, 1981, 22(6): 691-693 |
| [67] | 杨溪, 李锋. 人工智能辅助的打制石器拼合与可视化[J]. 史前考古, 2024, 1(2): 207-223 |
| [68] | Altansukh A, You M, Altantsetseg E, et al. A New Matching Algorithm for Stone Tool Reassembly Based on Contour Points of Flake Surface[J]. The Journal of the Society for Art and Science, 2024, 23(2): 4:1-4:17 |
| [69] | Riel-Salvatore J, Bae M, MacCartney P, et al. Palaeolithic archaeology and 3D visualization technology: recent developments[J]. Antiquity, 2002, 76(294): 929-930 |
| [70] | Yahalom-Mack N, Herzlinger G, Bogdanovsky A, et al. Combining chemical and lead isotope analyses with 3-D geometric-morphometric shape analysis: A methodological case study of socketed bronze arrowheads from the southern Levant[J]. Journal of Archaeological Science, 2020, 118: 105147 |
| [71] | Bae CJ. The Paleoanthropology of Eastern Asia[M]. Honolulu: University of Hawai‘i Press, 2024, 72-78 |
| [72] | Wang FG, Yang SX, Ge JY, et al. Innovative ochre processing and tool use in China 40000 years ago[J]. Nature, 2022, 603: 284-289 |
| [73] | Barker G, Barton H, Bird M, et al. The ‘human revolution’ in lowland tropical Southeast Asia: the antiquity and behavior of anatomically modern humans at Niah Cave (Sarawak, Borneo)[J]. Journal of Human Evolution, 2007, 52(3): 243-261 |
| [74] | Hirst CS, White S, Smith SE. Standardisation in 3D Geometric Morphometrics: Ethics, Ownership, and Methods[J]. Archaeologies: Journal of the World Archaeological Congress, 2018, 14(2): 272-298 |
| [75] | 周志华. 机器学习[M]. 北京: 清华大学出版社, 2016, 1-4 |
| [76] | Bickler SH. Machine Learning Arrives in Archaeology[J]. Advances in Archaeological Practice, 2021, 9(2): 186-191 |
| [77] | Grove M, Blinkhorn J. Neural networks differentiate between Middle and Later Stone Age lithic assemblages in eastern Africa[J]. PLoS ONE, 2020, 15(8): e0237528 |
| [78] | Figueroa JDO, Reeves JS, McPherron SP, et al. A proof of concept for machine learning-based virtual knapping using neural networks[J]. Scientific Reports, 2021, 11: 19966 |
/
| 〈 |
|
〉 |