Results 21 to 30 of about 1,011,444 (276)

An Efficient Bidirectional Point Pyramid Attention Network for 3D Point Cloud Completion

open access: yesApplied Sciences, 2023
Point cloud completion is a necessary task in real-world applications of recovering a complete geometry from missing regions of 3D objects. Furthermore, model efficiency is of vital importance in computer vision.
Yang Li   +3 more
doaj   +1 more source

Point Projection Network: A Multi-View-Based Point Completion Network with Encoder-Decoder Architecture

open access: yesRemote Sensing, 2021
Recently, unstructured 3D point clouds have been widely used in remote sensing application. However, inevitable is the appearance of an incomplete point cloud, primarily due to the angle of view and blocking limitations. Therefore, point cloud completion
Weichao Wu   +4 more
doaj   +1 more source

Experimental Analysis of Commercial Optical Methods for Foot Measurement

open access: yesSensors, 2022
Due to the increasing trend of online shopping, shoes are more and more often bought without being tried on. This leads to a strong increase in returns, which results in a high financial as well as ecological burden. To prevent this, feet can be measured
Matthias C. Jäger   +2 more
doaj   +1 more source

Towards Precise Completion of Deformable Shapes [PDF]

open access: yes, 2020
According to Aristotle, “the whole is greater than the sum of its parts”. This statement was adopted to explain human perception by the Gestalt psychology school of thought in the twentieth century. Here, we claim that when observing a part of an object which was previously acquired as a whole, one could deal with both partial correspondence and shape ...
Halimi O.   +6 more
openaire   +1 more source

Point cloud completion via structured feature maps using a feedback network

open access: yesComputational Visual Media, 2022
In this paper, we tackle the challenging problem of point cloud completion from the perspective of feature learning. Our key observation is that to recover the underlying structures as well as surface details, given partial input, a fundamental component
Zejia Su   +4 more
doaj   +1 more source

Perceptual organization and visual awareness: the case of amodal completion

open access: yesFrontiers in Psychology, 2023
We investigated the involvement of visual awareness in amodal completion, and specifically, whether visual awareness plays a differential role in local versus global completion, using a primed shape discrimination paradigm and the color-opponent flicker ...
Ruth Kimchi   +3 more
doaj   +1 more source

Implicit Shape Completion via Adversarial Shape Priors

open access: yes, 2022
We present a novel neural implicit shape method for partial point cloud completion. To that end, we combine a conditional Deep-SDF architecture with learned, adversarial shape priors. More specifically, our network converts partial inputs into a global latent code and then recovers the full geometry via an implicit, signed distance generator ...
Saroha, Abhishek   +3 more
openaire   +2 more sources

Complete probabilistic analysis of RNA shapes [PDF]

open access: yesBMC Biology, 2006
Abstract Background Soon after the first algorithms for RNA folding became available, it was recognised that the prediction of only one energetically optimal structure is insufficient to achieve reliable results.
Voß, Björn   +2 more
openaire   +3 more sources

Global Visual Completion of Quasi-Regular Shapes [PDF]

open access: yesPerception, 2002
The topic of amodal completion has often been investigated by using partly occluded shapes that are regular. In research that has typically been done with displays such as these regular shapes, it has been shown that global aspects of a shape can determine completion.
Wit, T.C.J. de, Lier, R.J. van
openaire   +4 more sources

Component-aware generative autoencoder for structure hybrid and shape completion

open access: yesGraphical Models, 2023
Assembling components of man-made objects to create new structures or complete 3D shapes is a popular approach in 3D modeling techniques. Recently, leveraging deep neural networks for assembly-based 3D modeling has been widely studied. However, exploring
Fan Zhang   +3 more
doaj   +1 more source

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