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Shen Ying, Renzhong Guo, Jie Yang, Biao He, Zhigang Zhao and Fengzan Jin
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Ziyi Li, Yang Li, Yanping Wang, Guangda Xie, Hongquan Qu and Zhuoyang Lyu
With the rapid development of deep learning, more and more complex models are applied to 3D point cloud object detection to improve accuracy. In general, the more complex the model, the better the performance and the greater the computational resource co...
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Tajbia Karim, Zainal Rasyid Mahayuddin and Mohammad Kamrul Hasan
Two-dimensional object detection techniques can detect multiscale objects in images. However, they lack depth information. Three-dimensional object detection provides the location of the object in the image along with depth information. To provide depth ...
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Kexin Zhao, Rui Jiang and Jun He
Stereo 3D object detection remains a crucial challenge within the realm of 3D vision. In the pursuit of enhancing stereo 3D object detection, feature fusion has emerged as a potent strategy. However, the design of the feature fusion module and the determ...
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Lingfeng Huang, Jieyu Zhao and Yu Chen
3D mesh as a complex data structure can provide effective shape representation for 3D objects, but due to the irregularity and disorder of the mesh data, it is difficult for convolutional neural networks to be directly applied to 3D mesh data processing....
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Niranjan Ravi and Mohamed El-Sharkawy
Three-dimensional object detection involves estimating the dimensions, orientations, and locations of 3D bounding boxes. Intersection of Union (IoU) loss measures the overlap between predicted 3D box and ground truth 3D bounding boxes. The localization t...
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Wenqi Zheng, Han Xie, Yunfan Chen, Jeongjin Roh and Hyunchul Shin
Owing to its wide range of applications, 3D object detection has attracted increasing attention in computer vision tasks. Most existing 3D object detection methods are based on Lidar point cloud data. However, these methods have some limitations in local...
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Jaehyun Lee, Sungjae Ha, Philippe Gentet, Leehwan Hwang, Soonchul Kwon and Seunghyun Lee
As highly immersive virtual reality (VR) content, 360° video allows users to observe all viewpoints within the desired direction from the position where the video is recorded. In 360° video content, virtual objects are inserted into recorded real scenes ...
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Xuyue Yin, Xiumin Fan, Xu Yang, Shiguang Qiu and Zhinan Zhang
The proposed method provides a universal calibration tool of marker?object offset matrix for marker-based industrial augmented reality applications. Given an industrial product or part attached with one fiducial marker and its CAD model, the method autom...
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Jason Rambach, Alain Pagani, Michael Schneider, Oleksandr Artemenko and Didier Stricker
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Stanislav Dolganov,Dmitriy Vatolin
Pág. 1 - 8
The creation of S3D movies by converting 2D captured footage often introduces depth-map inaccuracies. Such artifacts can significantly degrade the viewing experience even if they occur only in unsalient background objects. In this paper we propose a meth...
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Huazhi Li, Zhangyu Wang, Guizhen Yu, Ziren Gong, Bin Zhou, Peng Chen and Fei Zhao
Object detection is an essential task for autonomous vehicles to ensure safety. Due to the complexity of mining environments, it is difficult to detect objects accurately and robustly. To address these issues, this paper proposes a novel 3D LiDAR-based o...
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Alfan Rizaldy Pratama Pratama, Bima Sena Bayu Dewantara, Dewi Mutiara Sari, Dadet Pramadihanto
Pág. 153 - 169
One of the most commonly faced tasks in industrial robots is bin picking. Much work has been done in this related topic is about grasping and picking an object from the piled bin but ignoring the recognition step in their pipeline. In this paper, a...
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Shijing Han, Xiaorui Dong, Xiangyang Hao and Shufeng Miao
Surveillance systems focus on the image itself, mainly from the perspective of computer vision, which lacks integration with geographic information. It is difficult to obtain the location, size, and other spatial information of moving objects from survei...
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Alfan Rizaldy Pratama Pratama, Bima Sena Bayu Dewantara, Dewi Mutiara Sari, Dadet Pramadihanto
Pág. 153 - 169
One of the most commonly faced tasks in industrial robots is bin picking. Much work has been done in this related topic is about grasping and picking an object from the piled bin but ignoring the recognition step in their pipeline. In this paper, a...
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Riccardo Spezialetti, Samuele Salti and Luigi Di Stefano
Matching surfaces is a challenging 3D Computer Vision problem typically addressed by local features. Although a plethora of 3D feature detectors and descriptors have been proposed in literature, it is quite difficult to identify the most effective detect...
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Luká? Bruha, Josef La?tovicka, Tomá? Palatý, Eva ?tefanová and Premysl ?tych
Diachronic studies play a key role in the research and documentation of cultural heritage and its changes, ranging from architectural fragments to landscape. Regarding the reconstructions of lost cultural heritage sites, the determination of landscape co...
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Lazher Zaidi, Juan Antonio Corrales Ramon, Laurent Sabourin, Belhassen Chedli Bouzgarrou and Youcef Mezouar
In the grasping and manipulation of 3D deformable objects by robotic hands, the physical contact constraints between the fingers and the object have to be considered in order to validate the robustness of the task. Nevertheless, previous works rarely est...
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I Wayan Andis Indrawan,I Putu Agung Bayupati,Desy Purnami Singgih Putri
Pág. pp. 19 - 35
Dewata Nawa Sanga in Hinduism has an important role as the foundation of the religious concept implemented by Hindus in Bali, Indonesia. It has the meaning of nine deities or manifestations of Ida Sang Hyang Widhi Wasa (God Almighty) that guard or ...
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Chengtao Zhu and Yau-Zen Chang
Potential applications of the work include autonomous navigation, 3D reconstruction, and vision-based object handling.
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