We give a brief overview of recent work in the following areas: detection [7, 8], pose normalization [7, 9, 10], attribute estimation [10 12], and recognition/verification [13, 14].
Different approaches have been developed for the initial detection in the two image domains: warm areas detection, vertical edges detection, and an approach based on the simultaneous computation of disparity space images in the two domains [3, 21]. Figure 2 Overall algorithm flow.
In a large regional shopping center that draws people from large areas, detection is more difficult.
Research needs fall into four broad areas: detection and quantification, environmental fate and transport, health effects and risk assessment, and site investigation and remediation approaches (Table 2).
The use of Exon arrays makes it possible to assess the performance of RNA-Seq in two key areas: detection of expression at the granularity of individual exons, and discovery of transcription outside annotated loci.
A quantified or computerized analysis of visual fields that approximates a human interpretation of an automated visual field faces particular challenges in three areas – detection, progression, and characterization of the defect.
