夜晚
发表于 2025-3-23 11:57:09
Material Classification Based on Training Data Synthesized Using a BTF Databaseg these variations for material classification. Using synthetic training data created from separately acquired material and illumination characteristics allows to overcome the problems of existing material databases which only include a tiny fraction of the possible real-world conditions under contr
鞠躬
发表于 2025-3-23 17:28:47
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overweight
发表于 2025-3-23 19:07:15
Transfer Learning Based Visual Tracking with Gaussian Processes Regressionof target appearance as exponentially related to the confidence of a classifier output. By contrast, in this paper we directly analyze this probability using Gaussian Processes Regression (GPR), and introduce a latent variable to assist the tracking decision. Our observation model for regression is
嫌恶
发表于 2025-3-24 01:16:40
Separable Spatiotemporal Priors for Convex Reconstruction of Time-Varying 3D Point Clouds, or miscorrespondence. We present a statistical model of 3D motion data, based on the Kronecker structure of the spatiotemporal covariance of natural motion, as a prior on 3D motion. This prior is expressed as a matrix normal distribution, composed of separable and compact row and column covariance
interrogate
发表于 2025-3-24 03:24:09
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音乐等
发表于 2025-3-24 09:55:47
Local Estimation of High Velocity Optical Flow with Correlation Image Sensor, the problem of the optical flow estimation is ill-posed if only the temporal constancy of the image brightness is the valid assumption. When given images are captured by the correlation image sensors, though, you can make the problem of the optical flow estimation well-posed under some condition a
antiquated
发表于 2025-3-24 12:36:50
Rank Minimization with Structured Data Patternsement matrix are available, the problem can be solved using factorization. However, in the case of missing data no satisfactory solution exists. Recent approaches replace the rank term with the weaker (but convex) nuclear norm. In this paper we show that this heuristic works poorly on problems where
magnanimity
发表于 2025-3-24 18:42:41
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Feckless
发表于 2025-3-24 20:59:02
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智力高
发表于 2025-3-25 01:46:22
Pipe-Run Extraction and Reconstruction from Point Cloudsive similarities from raw data to guide primitive fitting, increasing robustness to data noise and incompleteness. Finally, . are automatically detected to close gaps and propagate connectivity information. The resulting model is more than a collection of 3D triangles, as it contains semantic labels for pipes as well as their connectivity.