Locally Adaptive Thresholding for Single-Shot Structured Light Patterns
نویسندگان
چکیده
منابع مشابه
Adaptive Color Calibration Based One-Shot Structured Light System
In one-shot color structured light systems, the color of stripe patterns are typically distorted with respect to color crosstalk, ambient light and the albedo of the scanned objects, leading to mismatch in the correspondence of color stripes between the projected and captured images. In this paper, an adaptive color calibration and Discrete Trend Transform algorithm are presented to achieve hig...
متن کاملVideo Shot Cut Detection using Adaptive Thresholding
The performance of shot detection methods in video sequences can be improved by the use of a threshold that adapts itself to the sequence statistics. In this paper we present some new techniques for adapting the threshold. We then compare the new techniques with an existing one, leading to an improved shot detection method.
متن کاملAdaptive Thresholding in Marine RADARs
In order to detect targets upon sea surface or near it, marine radars should be capable of distinguishing signals of target reflections from the sea clutter. Our proposed method in this paper relates to detection of dissimilar marine targets in an inhomogeneous environment with clutter and non-stationary noises, and is based on adaptive thresholding determination methods. The variance and t...
متن کاملAdaptive Color Structured Light
A novel structured light method is described. The projection patterns are automatically adapted to the characteristics of the scene as part of the acquisition process, thus maximizing performance and minimizing the number of projection patterns. Color is used for light plane labeling. This allows to increase the dimension of the code space, hence the noise margins, without increasing the number...
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: Journal of Computational Vision and Imaging Systems
سال: 2021
ISSN: 2562-0444
DOI: 10.15353/jcvis.v6i1.3556