Search results for "Sum of absolute differences"

showing 2 items of 2 documents

Predicting the Success of Blastocyst Implantation from Morphokinetic Parameters Estimated through CNNs and Sum of Absolute Differences

2019

The process of In Vitro Fertilization deals nowadays with the challenge of selecting viable embryos with the highest probability of success in the implantation. In this topic, we present a computer-vision-based system to analyze the videos related to days of embryo development which automatically extracts morphokinetic features and estimates the success of implantation. A robust algorithm to detect the embryo in the culture image is proposed to avoid artifacts. Then, the ability of Convolutional Neural Networks (CNNs) for predicting the number of cells per frame is novelty combined with the Sum of Absolute Differences (SAD) signal in charge of capturing the amount of intensity changes durin…

In vitro fertilisationComputer sciencebusiness.industryDeep learningmedicine.medical_treatmentFrame (networking)Embryogenesis020206 networking & telecommunicationsPattern recognitionEmbryoImage processing02 engineering and technologyConvolutional neural networkSum of absolute differencesmedicine.anatomical_structure0202 electrical engineering electronic engineering information engineeringmedicine020201 artificial intelligence & image processingBlastocystArtificial intelligenceBlastocyst implantationbusiness2019 27th European Signal Processing Conference (EUSIPCO)
researchProduct

Real Time Stereo Matching Using Two Step Zero-Mean SAD and Dynamic Programing

2018

Dense depth map extraction is a dynamic research field in a computer vision that tries to recover three-dimensional information from a stereo image pair. A large variety of algorithms has been developed. The local methods based on block matching that are prevalent due to the linear computational complexity and easy implementation. This local cost is used on global methods as graph cut and dynamic programming in order to reduce sensitivity to local to occlusion and uniform texture. This paper proposes a new method for matching images based on a two-stage of block matching as local cost function and dynamic programming as energy optimization approach. In our work introduce the two stage of th…

Matching (statistics)Computational complexity theory010308 nuclear & particles physicsComputer scienceGraphics hardware02 engineering and technology01 natural sciencesDynamic programmingCUDASum of absolute differencesDepth mapComputer Science::Computer Vision and Pattern RecognitionCut0103 physical sciences0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingAlgorithm2018 15th International Multi-Conference on Systems, Signals & Devices (SSD)
researchProduct