Trinocular vision for automatic and robust 3D determination of the trajectories of moving objects

Baltsavias, Emmanuel P.; Stallmann, Dirk

doi:10.1117/12.2294323

Cited by 5 publications

(3 citation statements)

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“…In the 1980s, image matching was mostly used in close‐range applications. Examples include: camera calibration (Beyer, 1987, 1992); human face measurements (Gruen and Baltsavias, 1988a); object tracking (Baltsavias and Stallmann, 1990); and industrial quality control (Gruen and Stallmann, 1991). Often it was applied in the form of template matching (for example, Lue et al, 1987).…”

Section: New Approaches (1980s)mentioning

confidence: 99%

Development and Status of Image Matching in Photogrammetry

Gruen

2012

The Photogrammetric Record

221

131

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Image and template matching is probably the most important function in digital photogrammetry and also in automated modelling and mapping. Many approaches for matching have evolved over the years, but the problem is still unsolved in general terms. This paper describes the development of image matching techniques in photogrammetry over the past 50 years, addresses the results of some empirical accuracy studies and also provides a critical account of some of the problems that remain. Although automated approaches have quite a number of advantages, the quality of the results is still not satisfactory and, in some cases, far from acceptable. Even with the most advanced techniques, it is not yet possible to achieve the quality of results that a human operator can produce. There is an urgent need for further improvements and innovations, be it through more powerful multi‐sensor approaches, thereby enlarging the information spectrum, and/or through advancements in image understanding algorithms, thus coming closer to human capabilities of reading and understanding image content.

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Section: New Approaches (1980s)mentioning

confidence: 99%

Development and Status of Image Matching in Photogrammetry

Gruen

2012

The Photogrammetric Record

221

131

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“…Reliable and accurate quantitative analysis for aerospace models, in motion or undergoing deformation, within a three dimensional co-ordinate space demands multiple, fixed, synchronized cameras with electronically shuttered, solid state sensors (Baltsavias and Stallman, 1990;Robson et al, 1995). Cameras which utilize solid state sensors are commonly known as CCTV (closed circuit television) cameras and almost universally use CCD (charge-coupled device) sensors.…”

Section: Camerasmentioning

confidence: 99%

Videometric Tracking of Wind Tunnel Aerospace Models at Nasa Langley Research Center

Shortis

Snow

1997

The Photogrammetric Record

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Wind tunnel engineers require measurements of position and orientation of aerospace models under test conditions. The measurement technique must be non-contact, non-intrusive and have a high sample rate. Videometric techniques based on multiple, synchronized CCD cameras can supply position and orientation data at 30Hz or 60Hz with acceptable accuracies. This paper describes a data acquisition system designed and implemented at NASA Langley Research Center to capture the position and orientation of free-flight aerospace models. System calibration and data processing techniques are discussed. Two examples of model tests will be described and examples of data output will be presented.

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“…The geometry of the imaging network is a major concern in trinocular image matching where there has traditionally been three categories of three-cam- Geometric configurations where the three cameras are positioned arbitrarily constitute the second category [ 1,4,8,10,14,20]. Here, epipolar geometry without image rectification is also exploited in the search for corresponding image feature pairs.…”

Section: Introductionmentioning

confidence: 99%

Three-image matching. For 3-D linear object tracking

Shao

Fraser²

2000

Geo-spatial Information Science

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This paper will discuss strategies for trinocular image rectification and matching for linear object tracking. It is well known that a pair of stereo images generates two epipolar images. Three overlapped images can yield six epipolar images in situations where any two are required to be rectified for the purpose of image matching. In this case, the search for feature eorrespondences is eomputationally intensive and matching complexity increases. A special epipolar image rectification for three stereo images, which simplifies the image matching process, is therefore proposed. This method generates only three rectified images, with the result that the search for matching features becomes more straightforward. With the three rectified images, a particular line-segment-based correspondence strategy is suggested. The primary characteristics of the feature correspondence strategy include application of specific epipolar geometric constraints and reference to three-ray triangulation residuals in object space.

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Trinocular vision for automatic and robust 3D determination of the trajectories of moving objects

Cited by 5 publications

References 0 publications

Development and Status of Image Matching in Photogrammetry

Development and Status of Image Matching in Photogrammetry

Videometric Tracking of Wind Tunnel Aerospace Models at Nasa Langley Research Center

Three-image matching. For 3-D linear object tracking

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