2024
DOI: 10.1109/access.2024.3397715
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Object Pose Estimation Using Color Images and Predicted Depth Maps

Dinh-Cuong Hoang,
Phan Xuan Tan,
Anh-Nhat Nguyen
et al.

Abstract: The task of object pose estimation in computer vision heavily relies on both color (RGB) and depth (D) images to provide crucial appearance and geometric information, assisting algorithms in understanding occlusions and object geometry, thereby enhancing accuracy. However, the dependency on specialized sensors capable of capturing depth poses challenges in terms of cost and availability. Consequently, researchers are exploring methods to estimate object poses solely from RGB images. Nevertheless, this approach… Show more

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