14 papers · ranked by Valyu relevance
Frincy Clement, Kirtan Shah, Dhara Pancholi, Gabriel Lugo + 1 more
'Irene Cheng'] Abstract—Textureless object recognition has become a significant task in Computer Vision with the advent of Robotics and its applications in manufacturing sector. It has been challenging to obtain good accuracy in real time because of its lack of discriminative features and reflectance properties which…
Sahand Eivazi Adli, Joshua K. Pickard, Ganyun Sun, Rickey Dubay + 1 more
'Bogdan Smolka'] Deformations introduced during the production of plastic components degrade the accuracy of their 3D geometric information, a critical aspect of object inspection processes. This phenomenon is prevalent among primary plastic products from manufacturers. This work proposes a solution for the deformation…
Jose Moises Araya-Martinez, Vinicius Soares Matthiesen, Simon Bøgh, Jens Lambrecht + 1 more
'Jens Lambrecht' 'Rui Pimentel de Figueiredo'] Object pose estimation is essential for computer vision applications such as quality inspection, robotic bin picking, and warehouse logistics. However, this task often requires expensive equipment such as 3D cameras or Lidar sensors, as well as significant computational…
Guangcheng Chen, Yicheng He, Li He, Hong Zhang
Textureless and Specular Objects Authors: ['Guangcheng Chen' 'Yicheng He' 'Li He' 'Hong Zhang'] > Abstract. Neural implicit surface reconstruction has achieved remarkable progress recently. Despite resorting to complex radiance modeling, state-of-the-art methods still struggle with textureless and specular surfaces.…
Nasim Hajari, Gabriel Lugo Bustillo, Harsh Sharma, Irene Cheng
The task of recognising an object and estimating its 6d pose in a scene has received considerable attention in recent years. The accessibility and low-cost of consumer RGB-D cameras, make object recognition and pose estimation feasible even for small industrial businesses. An example is the industrial assembly line…
Masataka Sawayama, Yoshinori Dobashi, Makoto Okabe, Kenchi Hosokawa + 4 more
For elucidation of complex visual processing such as material perception of realistic objects, multiple research approaches should be combined. Shearing stimulus and response data is an effective strategy to make the results of different studies directly comparable, and to assist a wide range of researchers with…
Blaine Hoak, Patrick McDaniel
In this work, we investigate texture learning: the identification of textures learned by object classification models, and the extent to which they rely on these textures. We build texture-object associations that uncover new insights about the relationships between texture and object classes in CNNs and find three…
Joshua S. Harvey, Hannah E. Smithson
The human visual system is able to rapidly and accurately infer the material properties of objects and surfaces in the world. Yet an inverse optics approach—estimating the bi-directional reflectance distribution function of a surface, given its geometry and environment, and relating this to the optical properties of…
Shaiyan Keshvari, Maarten W. A. Wijntjes
Humans can rapidly identify materials, such as wood or leather, even within a complex visual scene. Given a single image, one can easily identify the underlying “stuff,” even though a given material can have highly variable appearance; fabric comes in unlimited variations of shape, pattern, color, and smoothness, yet…
Junyu Dong, Jun Liu, Kang Yao, Mike Chantler + 3 more
'Muwei Jian'] Textures are the most important element for simulating real-world scenes and providing realistic and immersive sensations in many applications. Procedural textures can simulate a broad variety of surface textures, which is helpful for the design and development of new sensors. Procedural texture…
Lisa P.Y. Lin, Knut Drewing, Katja Doerschner
Image motion contributes to the perception of visual material properties, and motion signals are generated during active exploration. However, little is known about how specific perceptual tasks influence the actions that generate these cues. In an experiment using virtual reality and real-time hand tracking, we…
Bei Xiao, Shuang Zhao, Ioannis Gkioulekas, Wenyan Bi + 1 more
When judging optical properties of a translucent object, humans often look at sharp geometric features such as edges and thin parts. Analysis of the physics of light transport shows that these sharp geometries are necessary for scientific imaging systems to be able to accurately measure the underlying material optical…
Authors not listed
For decades, molecular visualization software has been fundamental to education and research in chemistry, structural biology, and materials science. These tools have enabled the inspection of structures, dynamics, and interactions, yet their reliance on two-dimensional (2D) interfaces imposes persistent limitations.…
Wenyan Bi, Peiran Jin, Hendrikje Nienborg, Bei Xiao
Cloth is a common material and humans can visually estimate its mechanical properties by observing how it deforms under external forces. Here we ask whether, and how, dynamic deformation can affect the perception of mechanical properties of cloth. In Experiment 1, we find that both intrinsic mechanical properties and…