Image Visual Realism: From Human Perception to Machine Computation

2018 ◽  
Vol 40 (9) ◽  
pp. 2180-2193 ◽  
Author(s):  
Shaojing Fan ◽  
Tian-Tsong Ng ◽  
Bryan Lee Koenig ◽  
Jonathan Samuel Herberg ◽  
Ming Jiang ◽  
...  
2021 ◽  
Vol 54 (6) ◽  
pp. 1-36
Author(s):  
Yuta Itoh ◽  
Tobias Langlotz ◽  
Jonathan Sutton ◽  
Alexander Plopski

Adding virtual information that is indistinguishable from reality has been a long-awaited goal in Augmented Reality (AR). While already demonstrated in the 1960s, only recently have Optical See-Through Head-Mounted Displays (OST-HMDs) seen a reemergence, partially thanks to large investments from industry, and are now considered to be the ultimate hardware for augmenting our visual perception. In this article, we provide a thorough review of state-of-the-art OST-HMD-related techniques that are relevant to realize the aim of an AR interface almost indistinguishable from reality. In this work, we have an initial look at human perception to define requirements and goals for implementing such an interface. We follow up by identifying three key challenges for building an OST-HMD-based AR interface that is indistinguishable from reality: spatial realism, temporal realism, and visual realism. We discuss existing works that aim to overcome these challenges while also reflecting against the goal set by human perception. Finally, we give an outlook into promising research directions and expectations for the years to come.


2014 ◽  
Vol 11 (2) ◽  
pp. 1-21 ◽  
Author(s):  
Shaojing Fan ◽  
Rangding Wang ◽  
Tian-Tsong Ng ◽  
Cheston Y.-C. Tan ◽  
Jonathan S. Herberg ◽  
...  

2017 ◽  
Vol 131 (1) ◽  
pp. 19-29 ◽  
Author(s):  
Marianne T. E. Heberlein ◽  
Dennis C. Turner ◽  
Marta B. Manser

2012 ◽  
Author(s):  
R. A. Grier ◽  
H. Thiruvengada ◽  
S. R. Ellis ◽  
P. Havig ◽  
K. S. Hale ◽  
...  

Author(s):  
Rajesh Kumar Gupta ◽  
L. N. Padhy ◽  
Sanjay Kumar Padhi

Traffic congestion on road networks is one of the most significant problems that is faced in almost all urban areas. Driving under traffic congestion compels frequent idling, acceleration, and braking, which increase energy consumption and wear and tear on vehicles. By efficiently maneuvering vehicles, traffic flow can be improved. An Adaptive Cruise Control (ACC) system in a car automatically detects its leading vehicle and adjusts the headway by using both the throttle and the brake. Conventional ACC systems are not suitable in congested traffic conditions due to their response delay.  For this purpose, development of smart technologies that contribute to improved traffic flow, throughput and safety is needed. In today’s traffic, to achieve the safe inter-vehicle distance, improve safety, avoid congestion and the limited human perception of traffic conditions and human reaction characteristics constrains should be analyzed. In addition, erroneous human driving conditions may generate shockwaves in addition which causes traffic flow instabilities. In this paper to achieve inter-vehicle distance and improved throughput, we consider Cooperative Adaptive Cruise Control (CACC) system. CACC is then implemented in Smart Driving System. For better Performance, wireless communication is used to exchange Information of individual vehicle. By introducing vehicle to vehicle (V2V) communication and vehicle to roadside infrastructure (V2R) communications, the vehicle gets information not only from its previous and following vehicle but also from the vehicles in front of the previous Vehicle and following vehicle. This enables a vehicle to follow its predecessor at a closer distance under tighter control.


Author(s):  
Ashish Dwivedi ◽  
Nirupma Tiwari

Image enhancement (IE) is very important in the field where visual appearance of an image is the main. Image enhancement is the process of improving the image in such a way that the resulting or output image is more suitable than the original image for specific task. With the help of image enhancement process the quality of image can be improved to get good quality images so that they can be clear for human perception or for the further analysis done by machines.Image enhancement method enhances the quality, visual appearance, improves clarity of images, removes blurring and noise, increases contrast and reveals details. The aim of this paper is to study and determine limitations of the existing IE techniques. This paper will provide an overview of different IE techniques commonly used. We Applied DWT on original RGB image then we applied FHE (Fuzzy Histogram Equalization) after DWT we have done the wavelet shrinkage on Three bands (LH, HL, HH). After that we fuse the shrinkage image and FHE image together and we get the enhance image.


Author(s):  
Nina Bosak

The demonolexis in Yu. Andrukhovych’s long short story “Recreatsii” (“Recreations”) has been analyzed in the article. In the course of the research there have been outlined the following lexical-semantic groups of demonomens: toponymic and onomastic names, modified lexemes, names of the rituals, genuine Ukrainian demonomens, obscene words and expressions, demonomens of Biblical origin, names from the world mythology and general demonolexis. The special lexical-semantic group has been formed by non personificated demonomens, which serve to convey the peculiarities of the contemporary Ukrainian writers’ mentality, their habits through speech. Such nomens help to reveal the protagonist’s soul, show the positive and negative sides of his personal ego, demonstrate the duality of the human perception of the world, indicate the causes of phobias, emotions, sensations. Key words: demonolexis, demonomen, lexical-semantic group, non personificated demonomen.


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