HEW
发表于 2025-3-30 11:22:45
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阴谋
发表于 2025-3-30 14:54:27
The Path Towards a Sustainable Tomorrow,e views is generated, which is used to estimate globally consistent camera parameters for the complete scene. The approach is evaluated on synthetic and real-world ground truth examples. Furthermore, the approach is applied to calibrate the stereo-cameras of a robotic head on a moving platform.
ARM
发表于 2025-3-30 19:53:43
What Is the Problem? Men and Joulesd object. The proposed image interpretation procedure consists of a Gabor pre-filtering and a Haralick feature detector. It is demonstrated that polarization images permit to reach higher classification rates than in case of a direct interpretation of images without polarization information.
Uncultured
发表于 2025-3-30 21:23:22
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使增至最大
发表于 2025-3-31 02:58:41
Bundle Adjustment for Stereoscopic 3D,ntegrated efficiently into the sparse bundle adjustment framework, enabling the processing of stereoscopic image sequences with traditional efficiency and improved accuracy. Our camera model is validated by synthetic experiments, on rendered sequences, and on a variety of real-world video sequences.
BUCK
发表于 2025-3-31 05:34:33
Leaf Segmentation and Tracking Using Probabilistic Parametric Active Contours,work defined using probability theory. With this new technique there is no need for ad hoc parameter setting, since it uses probability distributions, which can be learned from a given training dataset.
carotid-bruit
发表于 2025-3-31 09:59:48
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mortgage
发表于 2025-3-31 13:44:24
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临时抱佛脚
发表于 2025-3-31 20:45:09
Optimal Gabor Filters and Haralick Features for the Industrial Polarization Imaging,d object. The proposed image interpretation procedure consists of a Gabor pre-filtering and a Haralick feature detector. It is demonstrated that polarization images permit to reach higher classification rates than in case of a direct interpretation of images without polarization information.
恶名声
发表于 2025-4-1 00:53:53
Content Based Image Retrieval Using Visual-Words Distribution Entropy,robust scale invariant descriptor. The experimental results show that the proposed method demonstrates better performance than the classic Visual Words approach, while it also outperforms several other descriptors from the literature.