Development of digital close-range photogrammetry

The development history of digital close-range photogrammetry can be summarized into five periods with different characteristics: the early stage of basic stage; Enter the gradual development period of digital stage; Enter the all-round development period of digital stage, the in-depth development period of steady research and increasing popularization and application, and the recent maturity period.

1964 to 1984 are the prophase of digital close-range photogrammetry. The research achievements in this period mainly laid the theoretical foundation of digital close-range photogrammetry, including image processing algorithm, error theory, research and application of CCD device, template matching algorithm and simultaneous processing technology of multiple photos. Therefore, some people call this period the infant state of digital close-range photogrammetry.

From 1984 to 1988, the digital stage has gradually developed, and many digital close-range photogrammetry systems have gradually developed. Although few of them are practical, they lay the foundation for the follow-up research and development in system design, development and calibration. At the annual meeting of the International Conference on Photogrammetry and Remote Sensing (ISPRS) held in Ottawa, Canada from June 65438 to June 0986, digital close-range photogrammetry became one of the themes of the Fifth Committee. 1The annual meeting of the International Society of Photogrammetry and Remote Sensing held in Interlaken, Switzerland in June, 1987 was the first international conference with the theme of digital photogrammetry alone. At the 16 ISPRS conference held in Kyoto, Japan in 1988, the Fifth Committee officially changed its name to "Close-range Photogrammetry and Machine Vision", and a lot of articles were about digital close-range photogrammetry.

From 1988 to 1992, digital close-range photogrammetry has entered a period of all-round development. More and more researchers have carried out research and system development in this direction, and many successful application reports have appeared, which greatly expanded the application neighborhood (such as industrial measurement, biological stereo measurement, flow measurement, automobile collision experimental measurement and space detection, etc.). The remarkable characteristics of this period are as follows: (2) The application fields and industries have been greatly broadened; (3) Exchanges with other disciplines such as computer vision began to increase, and they supported each other in academic conferences and paper publishing.

From 1992 to 1996, the research and development of digital close-range photogrammetry is no longer like the previous stage, but is developing more steadily, paying more attention to expanding the application and marketing of molding system. Existing old companies have introduced new digital products one after another (for example, GSI of the United States introduced the digital measurement system V-STARS after the analog measurement system was reformed in 1994), and many new specialized small companies and new systems have also emerged (for example, the Metronor system of Metronor of Norway, the PhotoModeler system of EOS of Canada, and the DPA-Pro system of AICON 3D). The publication of a series of conference proceedings shows that the technology and research of digital close-range photogrammetry are mature.

From 1996 to now, the research and application of digital close-range photogrammetry has entered a mature stage. It can meet the requirements of real-time images and high geometric accuracy in the medical field, and can be used for surgery, anthropometry, monitoring and measuring human behavior and movements. The focus of research has shifted from geometric measurement accuracy to real-time, full automation and deep processing of measurement results (3D modeling and virtual reality). Especially with the development of laser scanning technology, multi-sensor data acquisition and data fusion have attracted much attention, which makes the relationship between digital close-range photography and computer vision more and more close.