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20172021
most citedSubjective and Objective Visual Quality Assessment of Textured 3D Meshes

54 citations · 68 across the 7 of their papers we have counts for

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9 papers · 1 filter

cs.CV202154 cited

Subjective and Objective Visual Quality Assessment of Textured 3D Meshes

Jinjiang Guo, Vincent Vidal, Irene Cheng +3

Objective visual quality assessment of 3D models is a fundamental issue in computer graphics. Quality assessment metrics may allow a wide range of processes to be guided and evalua…

cs.CV2019

A note on 'A fully parallel 3D thinning algorithm and its applications'

Tao Wang, Anup Basu

A 3D thinning algorithm erodes a 3D binary image layer by layer to extract the skeletons. This paper presents a correction to Ma and Sonka's thinning algorithm, A fully parallel 3D…

cs.CV2018

Simplified Active Calibration

Mehdi Faraji, Anup Basu

We present a new mathematical formulation to estimate the intrinsic parameters of a camera in active or robotic platforms. We show that the focal lengths can be estimated using onl…

cs.CV2018

A Fast Segmentation-free Fully Automated Approach to White Matter Injury Detection in Preterm Infants

Subhayan Mukherjee, Irene Cheng, Steven Miller +3

White Matter Injury (WMI) is the most prevalent brain injury in the preterm neonate leading to developmental deficits. However, detecting WMI in Magnetic Resonance (MR) images of p…

cs.CV2018

Towards the identification of Parkinson's Disease using only T1 MR Images

Sara Soltaninejad, Irene Cheng, Anup Basu

Parkinson's Disease (PD) is one of the most common types of neurological diseases caused by progressive degeneration of dopamin- ergic neurons in the brain. Even though there is no…

cs.CV2018

Segmentation of Arterial Walls in Intravascular Ultrasound Cross-Sectional Images Using Extremal Region Selection

Mehdi Faraji, Irene Cheng, Iris Naudin +1

Intravascular Ultrasound (IVUS) is an intra-operative imaging modality that facilitates observing and appraising the vessel wall structure of the human coronary arteries. Segmentat…