Depth extraction using a single moving camera: an integration of depth from motion and depth from stereo

Dalmia, Arun K.; Trivedi, Mohan M.

doi:10.1007/bf01214359

Cited by 15 publications

(4 citation statements)

References 16 publications

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“…This effectively reduces the camera frame rate from 90 fps to ≈17 fps, limiting the maximum speed of the system and the ability to incorporate additional wavelengths in the future. A stereo imaging technique using a single camera in motion [36,37] was chosen to compensate for the error, eliminating the need to purchase additional equipment.…”

Section: Height Estimationmentioning

confidence: 99%

High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding

Elstone

How

Brodie

et al. 2020

Sensors

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Precision weeding can significantly reduce or even eliminate the use of herbicides in farming. To achieve high-precision, individual targeting of weeds, high-speed, low-cost plant identification is essential. Our system using the red, green, and near-infrared reflectance, combined with a size differentiation method, is used to identify crops and weeds in lettuce fields. Illumination is provided by LED arrays at 525, 650, and 850 nm, and images are captured in a single-shot using a modified RGB camera. A kinematic stereo method is utilised to compensate for parallax error in images and provide accurate location data of plants. The system was verified in field trials across three lettuce fields at varying growth stages from 0.5 to 10 km/h. In-field results showed weed and crop identification rates of 56% and 69%, respectively. Post-trial processing resulted in average weed and crop identifications of 81% and 88%, respectively.

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Section: Height Estimationmentioning

confidence: 99%

High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding

Elstone

How

Brodie

et al. 2020

Sensors

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“…Passive 3D extraction approaches are most suitable for this application domain [21,22]. The passive stereo system, which we currently employ, is made of many ODVS.…”

Section: Multiple Odv Stereomentioning

confidence: 99%

An integrated surveillance system—human tracking and view synthesis using multiple omni-directional vision sensors

Ng¹,

Ishiguro²,

Trivedi³

et al. 2004

Image and Vision Computing

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Accurate and efficient monitoring of dynamically changing environments is one of the most important requirements for visual surveillance systems. This paper describes the development of an integrated system for this monitoring purpose. The system consists of multiple omnidirectional vision sensors and was developed to address two specific surveillance tasks: (1) robust tracking and profiling of human activities;(2) dynamic synthesis of virtual views for observing the environment from arbitrary vantage points. q

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“…Focal length (λ) and the distance between camera optical center O c and the bi-prism's back surface (Z 0 ) are obtained through calibration. The principal point of the camera is assumed to be located at the center of the image plane, so that, substituting in equations ( 3)- (7), pixel values of the VPs in the image plane are:…”

Section: The Mvp Model For Single-camera 3d Measurement Using a Bi-prismmentioning

confidence: 99%

“…Some researchers try to capture the stereovision images in sequence, which is the simplest way to conduct singlecamera 3D measurements. Through moving the camera [7] or changing the optical imaging paths using rotatable mirrors [8,9] or planar parallel plates [10], a sequence of the object's images are captured in different perspectives to retrieve 3D information. Obviously, when using these methods, movement of the object during the capture process is strictly forbidden.…”

Section: Introductionmentioning

confidence: 99%

A modified virtual point model of the 3D DIC technique using a single camera and a bi-prism

Zhu

Xie

2014

Meas. Sci. Technol.

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Three-dimensional (3D) digital image correlation (DIC) is an effective measurement method to obtain both 3D morphology and displacements of a target. The aim of this study was to investigate the 3D DIC technique using a single camera and a bi-prism so as to benefit from the high accuracy of measurements and the compatibility of the measurement system. A modified virtual point (MVP) model based on the analysis of light refraction in the prism using a backward ray-tracing method was proposed. As applications, the measurements of morphology and rigid-body translations of a cylindrical specimen and the deflection of a cantilever were conducted. The results show that the proposed method is capable of accurate determination of the 3D morphology and displacements. They also verify that the MVP model is feasible and that the designed bi-prism for the single-camera 3D DIC technique is reliable in morphology retrieval and displacement measurements.

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Depth extraction using a single moving camera: an integration of depth from motion and depth from stereo

Cited by 15 publications

References 16 publications

High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding

High Speed Crop and Weed Identification in Lettuce Fields for Precision Weeding

An integrated surveillance system—human tracking and view synthesis using multiple omni-directional vision sensors

A modified virtual point model of the 3D DIC technique using a single camera and a bi-prism

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