Titlebook: Computer Vision - ECCV 2014 Workshops; Zurich, Switzerland, Lourdes Agapito,Michael M. Bronstein,Carsten Rothe Conference proceedings 2015

無瑕疵

Constrain

Rodent

0302-9743 vision; light fields for computer vision; computer vision for road scene understanding and autonomous driving; soft biometrics; transferring and adapting source knowledge in computer vision; su978-3-319-16180-8978-3-319-16181-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

Kernel

Oon Yin Bee,Halimahtun M. Khalidon conditions. Specifically, we test this representation on the GENKI smile detection dataset. Our high dimensional feature technique yields state of the art performance on both of these well known evaluations.

Allege

Halimahtun M. Khalid,Martin G. Helanders that learning such discriminative projections locally while organizing the database hierarchically leads to a more accurate and efficient system. The proposed method is validated on the standard Labeled Faces in the Wild (LFW) benchmark dataset with millions of additional distracting face images c

Armada

爭吵

Grading Tai Chi Performance in Competition with RGBD Sensorserees easy to be fatigue and thus grade with occasional mistakes. In this paper, we propose using Kinect sensors to grade automatically. Firstly, we record the joint movement of the performer skeleton. Then we adopt the joint differences both temporally and spatially to model the joint dynamics and

Ointment

使聲音降低

daredevil