CornerNet: Detecting Objects as Paired Keypoints
نویسندگان
چکیده
منابع مشابه
3D Keypoints Detection for Objects Recognition
In this paper, we propose a new 3D object recognition method that employs a set of 3D local features extracted from point cloud representation of 3D views. The method makes use of the 2D organization of range data produced by 3D sensor. A detector of 3D interest points requires the expression of the local surface variation around points. In our case, we opted for a curvature-based approach. We ...
متن کاملObjects as context for detecting their semantic parts
We present a semantic part detection approach that effectively leverages object information. We use the object appearance and its class as indicators of what parts to expect. We also model the expected relative location of parts inside the objects based on their appearance. We achieve this with a new network module, called OffsetNet, that efficiently predicts a variable number of part locations...
متن کاملKinDectect: Kinect Detecting Objects
Detecting humans and objects in images has been a very challenging problem due to variation in illumination, pose, clothing, background and other complexities. Depth information is an important cue when humans recognize objects and other humans. In this work we utilize the depth information that a Kinect sensor Xtion Pro Live provides to detect humans and obstacles in real time for a blind or v...
متن کاملDetecting Objects in Images
Chapter 16 described methods to classify images. When we assumed that the image contained a single, dominating object, these methods were capable of identifying that object. In this chapter, we describe methods that can detect objects. These methods all follow a surprisingly simple recipe—essentially, apply a classifier to subwindows of the image—which we describe with examples in Section 17.1....
متن کاملProposed Method for Detecting Objects
Most of object detection and classification algorithms are only locating regions in the image, whether it is within a template-sliding mask or interested region blobs. However, such regions may be ambiguous, especially when the object of interest is very small, unclear, or anything else. This paper presents proposed algorithm for automatic object detection and matching based on its own proposed...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Vision
سال: 2019
ISSN: 0920-5691,1573-1405
DOI: 10.1007/s11263-019-01204-1