Images and inference
نویسندگان
چکیده
منابع مشابه
Parametric 2d Layer Inference from Uncalibrated Images
Grouping based on motion and spatial support is essential, and is challenging. This paper focuses on extracting 2D layers from uncalibrated images. Targeted motion models are affine transformations. Our approach reliably extracts multiple 2D affine motion layers from noisy initial matches. This approach is based on: (1) a parametric method to detect and extract 2D affine; (2) the representation...
متن کاملFunctional MR images and scientific inference: reproducibility maps.
Historically, reproducibility has been the sine qua non of experimental findings that are considered to be scientifically useful. Typically, findings from functional magnetic resonance imaging (fMRI) studies are assessed with statistical parametric maps (SPMs) using a p value threshold. However, a smaller p value does not imply that the observed result will be reproducible. In this study, we su...
متن کاملIndoor Segmentation and Support Inference from RGBD Images
Boundary 8 B1. Strength: average Pb value 1 B2. Length: perimeter of each region; (boundary length) / (smaller perimeter) 3 B3. Smoothness: length / (L1 endpoint distance) 1 B4. Continuity: minimum angle difference at each junction 2 B5. Long-range: number of chained boundaries 1 Region 19 R1. Color: diff in RGB histogram entropy for separate regions vs merged region 1 R2. Color: diff in RGB me...
متن کاملLinear Feature Identification and Inference in Nano-scale Images
In this paper a novel method for the analysis of straight line alignment of features in the images based on Hough and Wavelet transforms is proposed. The new method is designed to work specifically with nanoscale images, to detect linear structure formed by the atomic lattice.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Cognition
سال: 1988
ISSN: 0010-0277
DOI: 10.1016/0010-0277(88)90025-x