Objective Evaluation Criteria for Shooting Quality of Stereo Cameras over Short Distance

Chu, Rongrong; Yang, Jiachen; Liu, Yun

doi:10.13164/re.2015.0305

Cited by 5 publications

(4 citation statements)

References 32 publications

(45 reference statements)

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“…An example of a 3D reconstruction using deterministic stereo matching can be seen in Figure 14. Liu et al [105] show that the minimum working distance should be at least 30 times larger than the baseline between the stereo cameras to generate better stereo images. For stereoscopes with a typical baseline of 4 mm this results in a minimum working distance of about 120 mm which is achievable in a medical environment.…”

Section: Tree Camera Baselinementioning

confidence: 99%

Advances in Real-Time 3D Reconstruction for Medical Endoscopy

Richter,

Steinmann,

Rosenthal

et al. 2024

J. Imaging

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This contribution is intended to provide researchers with a comprehensive overview of the current state-of-the-art concerning real-time 3D reconstruction methods suitable for medical endoscopy. Over the past decade, there have been various technological advancements in computational power and an increased research effort in many computer vision fields such as autonomous driving, robotics, and unmanned aerial vehicles. Some of these advancements can also be adapted to the field of medical endoscopy while coping with challenges such as featureless surfaces, varying lighting conditions, and deformable structures. To provide a comprehensive overview, a logical division of monocular, binocular, trinocular, and multiocular methods is performed and also active and passive methods are distinguished. Within these categories, we consider both flexible and non-flexible endoscopes to cover the state-of-the-art as fully as possible. The relevant error metrics to compare the publications presented here are discussed, and the choice of when to choose a GPU rather than an FPGA for camera-based 3D reconstruction is debated. We elaborate on the good practice of using datasets and provide a direct comparison of the presented work. It is important to note that in addition to medical publications, publications evaluated on the KITTI and Middlebury datasets are also considered to include related methods that may be suited for medical 3D reconstruction.

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Section: Tree Camera Baselinementioning

confidence: 99%

Advances in Real-Time 3D Reconstruction for Medical Endoscopy

Richter,

Steinmann,

Rosenthal

et al. 2024

J. Imaging

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show abstract

“…The success of these 3D application services depend upon providing high quality content [10]. However, this also brings many new concerns and challenges [11]-] [13]. Sending stereoscopic 3D (S-3D) contents for major events like FIFA 2010 and 2014 has become the recent focus of many 3D media service providers [14].…”

Section: Introductionmentioning

confidence: 99%

Summative Stereoscopic Image Compression using Arithmetic Coding

Poolakkachalil

Chandran

2019

IJEEI

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Image compression targets at reducing the amount of bits required for image representation to save storage space and speed up the transmission over network. The reduction of size helps to store more images in the disk and take less transfer time in the data network. Stereoscopic image refers to a threedimensional (3D) image that is perceived by the human brain as the transformation of two images that are being sent to the left and right human eyes with distinct phases. However, storing of these images takes space twice than a single image and hence the motivation for this novel approach called Summative Stereoscopic Image Compression using Arithmetic Coding (S2ICAC) where the difference and average of these stereo pair images are calculated, quantized in the case of lossy approach and unquantized in the case of lossless approach, and arithmetic coding is applied. The experimental result analysis indicates that the proposed method achieves high compression ratio and high PSNR value. The proposed method is also compared with JPEG 2000 Position Based Coding Scheme (JPEG 2000 PBCS) and Stereoscopic Image Compression using Huffman Coding (SICHC). From the experimental analysis, it is observed that S2ICAC outperforms JPEG 2000 PBCS as well as SICHC.

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“…To decrease the uncertainty, many existing techniques for stereo-vision rely on accurate feature extraction and correspondences. Liu et al [15] discuss the effect of the parameters of stereo cameras on the image quality. Li et al [16] extract the intersection of the associated lines as the feature points and use three points to calculate the relative pose between the object coordinates and the world coordinates.…”

Section: Introductionmentioning

confidence: 99%

Optimization-based non-cooperative spacecraft pose estimation using stereo cameras during proximity operations

Zhang¹,

Hao²,

Wang³

2017

Appl. Opt.

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Pose estimation for spacecraft is widely recognized as an important technology for space applications. Many space missions require accurate relative pose between the chaser and the target spacecraft. Stereo-vision is a usual mean to estimate the pose of non-cooperative targets during proximity operations. However, the uncertainty of stereovision measurement is still an outstanding issue that needs to be solved. With binocular structure and the geometric structure of the object, we present a robust pose estimation method for non-cooperative spacecraft. Because the solar panel can provide strict geometry constraints, our approach takes the corner points of which as features. After stereo matching, an optimization-based method is proposed to estimate the relative pose between the two spacecraft. Simulation results show that our method improves the precision and robustness of pose estimation. Our system improves the performance with maximum 3D localization error less than 5% and relative rotation angle error less than 1°. Our laboratory experiments further validate the method.

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Objective Evaluation Criteria for Shooting Quality of Stereo Cameras over Short Distance

Cited by 5 publications

References 32 publications

Advances in Real-Time 3D Reconstruction for Medical Endoscopy

Advances in Real-Time 3D Reconstruction for Medical Endoscopy

Summative Stereoscopic Image Compression using Arithmetic Coding

Optimization-based non-cooperative spacecraft pose estimation using stereo cameras during proximity operations

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