5 research outputs found
Towards Keypoint Guided Self-Supervised Depth Estimation
This paper proposes to use keypoints as a self-supervision clue for learning
depth map estimation from a collection of input images. As ground truth depth
from real images is difficult to obtain, there are many unsupervised and
self-supervised approaches to depth estimation that have been proposed. Most of
these unsupervised approaches use depth map and ego-motion estimations to
reproject the pixels from the current image into the adjacent image from the
image collection. Depth and ego-motion estimations are evaluated based on pixel
intensity differences between the correspondent original and reprojected
pixels. Instead of reprojecting the individual pixels, we propose to first
select image keypoints in both images and then reproject and compare the
correspondent keypoints of the two images. The keypoints should describe the
distinctive image features well. By learning a deep model with and without the
keypoint extraction technique, we show that using the keypoints improve the
depth estimation learning. We also propose some future directions for
keypoint-guided learning of structure-from-motion problems
Hyperserotonemia in Adults with Autistic Disorder
Abstract Hyperserotonemia is the most consistent serotonin-related finding in autism. The basis of this phenomenon, and its relationship to the central serotonergic dysfunction remains unclear. Platelet serotonin level (PSL) in 53 autistic adults and 45 healthy controls was measured. Mean PSL in autistic group (75.7 ± 37.4 ng/lL) was significantly higher than the control sample (59.2 ± 16.2 ng/lL) due to a presence of hyperserotonemic subjects which comprised 32% of the patients. PSL of autistic subjects did not correlate with the severity of symptoms, as measured by total CARS score, or the degree of mental retardation. However, significant negative relationship was observed between PSL and speech development, indicating the relationship between the peripheral 5HT concentrations and verbal abilities in autistic subjects
Automated Visual Inspection of Plastic Products
A novel automated visual inspection system is presented in this paper. The system is to be used for detection and classification of defects encountered in production of moulded plastic products. Methods for detection and description of both shape and surface defects are described and analyzed. Experiments have shown promising results
Hyperserotonemia in adults with autistic disorder
Hyperserotonemia is the most consistent serotonin-related finding in autism. The basis of this phenomenon, and its relationship to the central serotonergic dysfunction remains unclear. Platelet serotonin level (PSL) in 53 autistic adults and 45 healthy controls was measured. Mean PSL in autistic group (75.7 +/- 37.4 ng/mu L) was significantly higher than the control sample (59.2 +/- 16.2 ng/mu L) due to a presence of hyperserotonemic subjects which comprised 32% of the patients. PSL of autistic subjects did not correlate with the severity of symptoms, as measured by total CARS score, or the degree of mental retardation. However, significant negative relationship was observed between PSL and speech development, indicating the relationship between the peripheral 5HT concentrations and verbal abilities in autistic subjects