Dynamic vision sensor with shared pixels and time division multiplexing for higher spatial resolution and better linear separable data
US-2016093273-A1 · Mar 31, 2016 · US
Method and apparatus for event sampling of dynamic vision sensor on image formation
US10198660B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10198660-B2 |
| Application number | US-201615076203-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 21, 2016 |
| Priority date | Jan 27, 2016 |
| Publication date | Feb 5, 2019 |
| Grant date | Feb 5, 2019 |
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Abstract
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An apparatus and a method. The apparatus includes a dynamic vision sensor (DVS) configured to generate a stream of events, where an event includes a location and a binary value indicating a positive or a negative change in luminance; a sampling unit connected to the DVS and configured to sample the stream of events; and an image formation unit connected to the sampling unit and configured to form an image for each sample of the stream of events, wherein a manner of sampling by the sampling unit is adjusted to reduce variations between images formed by the image formation unit.
First claim
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What is claimed is: 1. An apparatus, comprising: a dynamic vision sensor (DVS) configured to generate a stream of events, where an event includes a location and a binary value indicating a positive or a negative change in luminance; a sampling unit connected to the DVS and configured to sample the stream of events; an inertial measurement unit (IMU) co-located with the DVS and configured to measure an acceleration of the DVS in three directions, and including an output connected to the sampling unit; and an image formation unit connected to the sampling unit and configured to form an image for each sample of the stream of events. 2. The apparatus of claim 1 , wherein the manner of sampling is one of a predetermined time period, a predetermined number of events, or a combination thereof. 3. The apparatus of claim 2 , wherein the predetermined time period, the predetermined number of events, or the combination thereof may each be adjacent, overlapping, or disjointed. 4. A method, comprising: generating a stream of events by a dynamic vision sensor (DVS), where an event includes a location and a binary value indicating a positive or a negative change in luminance; sampling the stream of events by a sampling unit connected to the DVS; measuring an acceleration of the DVS in three directions by an inertial measurement unit (IMU) co-located with the DVS, and outputting said measured acceleration signal to the sampling unit; and forming an image for each sample of the stream of events by an image formation unit connected to the sampling unit. 5. The method of claim 4 , wherein the manner of sampling is one of a predetermined time period, a predetermined number of events, or a combination thereof. 6. The method of claim 5 , wherein the predetermined time period, the predetermined number of events, or the combination thereof may each be adjacent, overlapping, or disjointed. 7. An apparatus, comprising: a dynamic vision sensor (DVS) configured to generate a stream of events, where an event includes a location and a binary value indicating a positive or a negative change in luminance; a sampling unit connected to the DVS and configured to sample the stream of events; an inertial measurement unit (IMU) co-located with the DVS and configured to measure an acceleration of the DVS in three directions, and including an output connected to the sampling unit; and an image formation unit connected to the sampling unit and configured to form an image for each sample of the stream of events, wherein a manner of sampling by the sampling unit is adjusted to reduce variations between images formed by the image formation unit. 8. The apparatus of claim 7 , wherein the manner of sampling is one of a predetermined time period, a predetermined number of events, or a combination thereof, wherein the predetermined time period, the predetermined number of events, or the combination thereof may each be adjacent, overlapping, or disjointed. 9. The apparatus of claim 7 , wherein the manner of sampling is decreased if a number of variations between images formed by the image formation unit increases and increases the manner of sampling if the number of variations between images formed by the image formation unit decreases. 10. A method, comprising: generating a stream of events by a dynamic vision sensor (DVS), where an event includes a location and a binary value indicating a positive or a negative change in luminance; sampling the stream of events by a sampling unit connected to the DVS; determining an acceleration of the DVS in three directions by an inertial measurement unit (IMU) co-located with the DVS; and forming an image for each sample of the stream of events by an image formation unit connected to the sampling unit, wherein a manner of sampling by the sampling unit is adjusted based on a predetermined sampling condition. 11. The method of claim 10 , wherein the manner of sampling is one of a predetermined time period, a predetermined number of events, or a combination thereof, wherein the predetermined time period, the predetermined number of events, or the combination thereof may each be adjacent, overlapping, or disjointed. 12. The method of claim 10 , further comprising decreasing the manner of sampling if a number of variations between images formed by the image formation unit increases and increases the manner of sampling if the number of variations between images formed by the image formation unit decreases.
Assignees
Inventors
Classifications
- G06V20/49Primary
Segmenting video sequences, i.e. computational techniques such as parsing or cutting the sequence, low-level clustering or determining units such as shots or scenes · CPC title
Distances to closest patterns, e.g. nearest neighbour classification · CPC title
Image acquisition (document image scanning and transmission H04N1/00; control of digital cameras H04N23/60) · CPC title
Physics · mapped topic
Physics · mapped topic
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Frequently asked questions
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- What does patent US10198660B2 cover?
- An apparatus and a method. The apparatus includes a dynamic vision sensor (DVS) configured to generate a stream of events, where an event includes a location and a binary value indicating a positive or a negative change in luminance; a sampling unit connected to the DVS and configured to sample the stream of events; and an image formation unit connected to the sampling unit and configured to fo…
- Who is the assignee on this patent?
- Ji Zhengping, Zhang Qiang, Lee Kyoobin, and 4 more
- What technology area does this patent fall under?
- Primary CPC classification G06V20/49. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Feb 05 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).