A difficult problem to solve when scanning performers’ faces is to eliminate the involuntary tilt and rotation of the performer’s skull so that all the scans of their different facial expressions line up perfectly. Check out SEED’s new paper and video presentation “A Theory of Stabilization by Skull Carving” by Mathieu Lamarre, Patrick Anderson, and Etienne Danvoye for a new approach to dealing with the challenge of distinguishing rigid skull motions from facial expressions. https://lnkd.in/gEguRd3g The paper is being presented this week at SIGGRAPH Asia 2024 in Tokyo by Mathieu Lamarre. This paper leverages recent advances in neural signed distance fields and differentiable isosurface meshing. The new approach, called “skull carving,” computes skull stabilization transformations directly on unstructured triangle meshes or point clouds. Our skull carving algorithm can accurately stabilize complex expressions for diverse groups of people, outperforming existing methods. #gamedev #WeAreEA #siggraphasia2024
SEED (Electronic Arts)’s Post
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🔥 #hottopic Multiscale Pixel-Level and Superpixel-Level Method for Hyperspectral Image Classification: Adaptive Attention and Parallel Multi-Hop Graph Convolution by Junru Yin, et al. ➡️ https://brnw.ch/21wLoTt
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🔬 Today, we highlight the importance of homogeneous sample illumination in plant imaging and image processing🌱 ⛔ As seen in this example of four #Arabidopsisthaliana seedlings imaged in a vertical position, using heterogeneous illumination can lead to inappropriate #segmentation of individual seedlings when using conventional methods. 🔧 At MIAtecs, we apply appropriate background correction algorithms to preprocess your images, transforming a heterogeneous background into a homogeneous one. --->💡 One of the best tools I highly recommend is the Pseudo Flat-Field correction from the #BioVoxxel Toolbox by Dr. Jan Brocher (https://lnkd.in/dZxCNcwi). Here, the segmentation results are overlaid on the original raw image (not the corrected image)! 🕵♀️ For more image processing visit: https://lnkd.in/dNNQTM9S #Microscopy #ImageProcessing #PlantScience #Arabidopsis #BioVoxxelToolbox #MIAtecs #ImageAnalysis #ComputerVision
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🧐 The Importance of Homogeneous Sample Illumination in Plant Imaging and Image Processing🌱 👇
🔬 Today, we highlight the importance of homogeneous sample illumination in plant imaging and image processing🌱 ⛔ As seen in this example of four #Arabidopsisthaliana seedlings imaged in a vertical position, using heterogeneous illumination can lead to inappropriate #segmentation of individual seedlings when using conventional methods. 🔧 At MIAtecs, we apply appropriate background correction algorithms to preprocess your images, transforming a heterogeneous background into a homogeneous one. --->💡 One of the best tools I highly recommend is the Pseudo Flat-Field correction from the #BioVoxxel Toolbox by Dr. Jan Brocher (https://lnkd.in/dZxCNcwi). Here, the segmentation results are overlaid on the original raw image (not the corrected image)! 🕵♀️ For more image processing visit: https://lnkd.in/dNNQTM9S #Microscopy #ImageProcessing #PlantScience #Arabidopsis #BioVoxxelToolbox #MIAtecs #ImageAnalysis #ComputerVision
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🚨🚨🚨🚨🚨 Paper Alert 🚨🚨🚨🚨🚨 NeRFtrinsic Four: An End-To-End Trainable NeRF Jointly Optimizing Diverse Intrinsic and Extrinsic Camera Parameters has been accepted to #CVIU!!! Summary: Novel view synthesis using neural radiance fields (NeRF) is one of the state-of-the-art techniques for generating high-quality images from novel viewpoints. We utilize Gaussian Fourier features to estimate extrinsic camera parameters and dynamically predict varying intrinsic camera parameters through the supervision of the projection error. Our approach outperforms existing joint optimization methods on LLFF and BLEFF. In addition to these existing datasets, we introduce a new dataset called iFF with varying intrinsic camera parameters. Paper Facts: Project Page: https://lnkd.in/duZtkuQW Dataset available via the project page. Paper: https://lnkd.in/dkbtFZrC Many thanks to my co-authors who supported the publication on its way to CVIU! Shout out to Fabian Deuser, Bernhard Egger, Norbert Oswald and Daniel Roth #ComputerVision #NeRF #NovelViewSynthesis
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🌟 Excited to share our latest blog post "Rotation Averaging: A Primal-Dual Method and Closed-Forms in Cycle Graphs" on arXiv! This work addresses the optimization problem in rotation averaging, a crucial aspect of geometric reconstruction and visual simultaneous localization and mapping. Our novel primal-dual method and insights from spectral graph theory offer valuable advancements in this field. Check out the full article here: https://bit.ly/3L4az24 #rotationaveraging #geometricreconstruction #arXivpublication
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X, Z, Theta, R And Y A five dimensional 3D representation which encode more information in regards to an object All that, before T. Remember, Navigators, we play with different projections of the perception of space upon the sciences It’s our ability to encode information for computation Enter hyperspace; Play Godai https://syndu.com
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