A hash algorithm converts data into compact strings. In the multimedia domain, effective
hashing is the key to large-scale similarity search in high-dimensional feature space. A limit …

Conventional deep feature learning methods use the same model parameters for both RGB
and depth domains in RGB-D object recognition. Since the characteristics of RGB and depth …

Context cue is important in object classification. By embedding the depth context cue of
image attributes into kernel descriptors, we propose a new set of depth image descriptors …

For RGB-D object recognition, conventional methods only focus on classification, which
neglects the importance of humans for object segmentation and object concept learning in …

In this article, we proposed a singular technique to hit upon the user-decided on color from
an RGB photo the usage of color thresh-conserving technique. Our proposed technique use …

Social robotics research focuses on developing intelligent machines that can perform
difficult tasks especially those beyond human capabilities, involving repetitions or adverse …

RGB-D camera can provide effective support with additional depth cue for many RGB-D
perception tasks beyond traditional RGB information. However, current feature …