3D stereo rendering challenges and techniques

Bouchet, L.; Doyen, Didier; Thierry, Borel

doi:10.1109/ciss.2010.5464936

Cited by 12 publications

(4 citation statements)

References 4 publications

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“…Multiple concerns arise when subtitles and graphics overlays are added to a given scene. First of all, any object added during postproduction should not violate the geometric integrity of the scene [12,13]. Any inconsistency will result in potential viewing discomfort.…”

Section: D Audiovisual Postproductionmentioning

confidence: 99%

Future of 3DTV Broadcasting: The MUSCADE Perspective

Arachchi

2013

3D Future Internet Media

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Even though 3D television (3DTV) services are practically up and running and the compatible displays are readily available in the market, the technology is far from mature enough for gaining widespread acceptance from the users. In light of this experience, the MUSCADE project was set up to define, develop, validate, and evaluate the technological innovations in 3DTV capturing, data representation, compression, transmission, and rendering required for a technically efficient and commercially successful 3DTV broadcast system. This chapter summarizes the technologies developed within the MUSCADE consortium to shape the future 3DTV broadcasting.

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Section: D Audiovisual Postproductionmentioning

confidence: 99%

Future of 3DTV Broadcasting: The MUSCADE Perspective

Arachchi

2013

3D Future Internet Media

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“…Before the camera captures the image, the camera must first be calibrated and corrected so that the image captured by the camera has less distortion. This is conducive to the construction of a stereoscopic image [33].…”

Section: Camera Calibration and Correctionmentioning

confidence: 99%

An Effective YOLO-Based Proactive Blind Spot Warning System for Motorcycles

et al. 2023

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Interest in advanced driver assistance systems (ADAS) is booming in recent years. One of the most effervescent ADAS features is blind spot detection (BSD), which uses radar sensors or cameras to detect vehicles in the blind spot area and alerts the driver to avoid a collision when changing lanes. However, this kind of BSD system fails to notify nearby vehicle drivers in this blind spot of the possible collision. The goal of this research is to design a proactive bus blind spot warning (PBSW) system that will immediately notify motorcyclists when they enter the blind spot or the area of the inner wheel difference of a target vehicle, i.e., a bus. This will increase the real-time functionality of BSD and can have a significant impact on enhancing motorcyclist safety. The proposed hardware is placed on the motorcycle and consists of a Raspberry Pi 3B+ and a dual-lens stereo camera. We use dual-lens cameras to capture and create stereoscopic images then transmit the images from the Raspberry Pi 3B+ to an Android phone via Wi-Fi and to a cloud server using a cellular network. At the cloud server, we use the YOLOv4 image recognition model to identify the position of the rear-view mirror of the bus and use the lens imaging principle to estimate the distance between the bus and the motorcyclist. Finally, the cloud server returns the estimated distance to the PBSW app on the Android phone. According to the received distance value, the app will display the visible area/blind spot, the area of the inner wheel difference of the bus, the position of the motorcyclist, and the estimated distance between the motorcycle and the bus. Hence, as soon as the motorcyclist enters the blind spot of the bus or the area of the inner wheel difference, the app will alert the motorcyclist immediately to enhance their real-time safety. We have evaluated this PBSW system implemented in real life. The results show that the average position accuracy of the rear-view mirror is 92.82%, the error rate of the estimated distance between the rear-view mirror and the dual-lens camera is lower than 0.2%, and the average round trip delay between the Android phone and the cloud server is about 0.5 s. To the best of our knowledge, this proposed system is one of few PBSW systems which can be applied in the real world to protect motorcyclists from the danger of entering the blind spot and the area of the inner wheel difference of the target vehicle in real time.

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“…As the technology progresses, vivid 3D stereoscopic vision is drawing more and more attention. Since 3D stereoscopic movies and films are becoming more and more popular, 3D stereo application will lead to the evolution of the next generation TV system [4][5][6][7][8]. The 3D stereoscopic display technology has developed from red-blue glasses in the early days to 3D LCD display [9] without glasses.…”

Section: Introductionmentioning

confidence: 99%

Merging Static and Dynamic Depth Cues with Optical-Flow Recovery for Creating Stereo Videos

Cheng

Sung

2013

Mathematical Problems in Engineering

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A method for estimating the depth information of a general monocular image sequence and then creating a 3D stereo video is proposed. Distinguishing between foreground and background is possible without additional information, and then foreground pixels are moved to create the binocular image. The proposed depth estimation method is based on coarse-to-fine strategy. By applying the CID method in the spatial domain, the sharpness and the contrast of an image can be improved by the distance of the region based on its color. Then a coarse depth map of the image can be generated. An optical-flow method based on temporal information is then used to search and compare the block motion status between previous and current frames, and then the distance of the block can be estimated according to the amount of block motion. Finally, the static and motion depth information is integrated to create the fine depth map. By shifting foreground pixels based on the depth information, a binocular image pair can be created. A sense of 3D stereo can be obtained without glasses by an autostereoscopic 3D display.

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3D stereo rendering challenges and techniques

Cited by 12 publications

References 4 publications

Future of 3DTV Broadcasting: The MUSCADE Perspective

Future of 3DTV Broadcasting: The MUSCADE Perspective

An Effective YOLO-Based Proactive Blind Spot Warning System for Motorcycles

Merging Static and Dynamic Depth Cues with Optical-Flow Recovery for Creating Stereo Videos

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