Results 241 to 250 of about 1,388,775 (280)
Some of the next articles are maybe not open access.
3D Image Processing and 3D Image Analysis
2021This section will provide the basic algorithms of representative filters and their effects according to the filtering objective. As filtering a 3D image is fundamentally the same process as that of a 2D image, this section will introduce examples of 2D filtering that are easier to formulate and whose application examples are easier to see.
openaire +1 more source
3D Imaging: Musculoskeletal Applications
Critical Reviews in Diagnostic Imaging, 2001(2001). 3D Imaging: Musculoskeletal Applications. Critical Reviews in Diagnostic Imaging: Vol. 42, No. 1, pp. 59-100.
E K, Fishman, B, Kuszyk
openaire +2 more sources
Single Image 3D without a Single 3D Image
2015 IEEE International Conference on Computer Vision (ICCV), 2015Do we really need 3D labels in order to learn how to predict 3D? In this paper, we show that one can learn a mapping from appearance to 3D properties without ever seeing a single explicit 3D label. Rather than use explicit supervision, we use the regularity of indoor scenes to learn the mapping in a completely unsupervised manner.
David F. Fouhey +3 more
openaire +1 more source
Quantification Using 3D Imaging
Critical Reviews in Computed Tomography, 2001(2001). Quantification Using 3D Imaging. Critical Reviews in Diagnostic Imaging: Vol. 42, No. 1, pp. 29-57.
openaire +2 more sources
2012
Active 3D imaging systems use artificial illumination in order to capture and record digital representations of objects. The use of artificial illumination allows the acquisition of dense and accurate range images of textureless objects that are difficult to acquire using passive vision systems.
Drouin, Marc-Antoine +1 more
openaire +2 more sources
Active 3D imaging systems use artificial illumination in order to capture and record digital representations of objects. The use of artificial illumination allows the acquisition of dense and accurate range images of textureless objects that are difficult to acquire using passive vision systems.
Drouin, Marc-Antoine +1 more
openaire +2 more sources
2007
Three-dimensional (3D) medical image processing is a large field that has evolved in recent years, leading to a major improvement in patient care. The revolutionary capabilities of new 3D and 4D medical imaging modalities, along with computer reconstruction, visualization, and analysis of multi-dimensional medical volume image data, provide powerful ...
Landini L, Santarelli M F, Positano V
openaire +2 more sources
Three-dimensional (3D) medical image processing is a large field that has evolved in recent years, leading to a major improvement in patient care. The revolutionary capabilities of new 3D and 4D medical imaging modalities, along with computer reconstruction, visualization, and analysis of multi-dimensional medical volume image data, provide powerful ...
Landini L, Santarelli M F, Positano V
openaire +2 more sources
Critical Reviews in Diagnostic Imaging, 2000
Interactive computer-based simulation is gaining acceptance for craniofacial surgical planning. Subjective visualization without objective measurement capability, however, severely limits the value of simulation since spatial accuracy must be maintained. This study investigated the error sources involved in one method of surgical simulation evaluation.
openaire +2 more sources
Interactive computer-based simulation is gaining acceptance for craniofacial surgical planning. Subjective visualization without objective measurement capability, however, severely limits the value of simulation since spatial accuracy must be maintained. This study investigated the error sources involved in one method of surgical simulation evaluation.
openaire +2 more sources
Proceedings of International Conference on Multimedia Retrieval, 2014
In this paper, a method of browsing a large collection of images in a 3D environment is presented. Planetary bodies are used as a metaphor for browsing the image collection, where each planet represents a cluster of related images from the dataset. Salient point descriptors are used to cluster the imagery into planets.
Qi Zhang +3 more
openaire +1 more source
In this paper, a method of browsing a large collection of images in a 3D environment is presented. Planetary bodies are used as a metaphor for browsing the image collection, where each planet represents a cluster of related images from the dataset. Salient point descriptors are used to cluster the imagery into planets.
Qi Zhang +3 more
openaire +1 more source